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Position:Teacher- High School Science POSITION SUMMARY: To direct the academic, social, and emotional growth of students so that each student progresses toward the goals and objectives outlined in both the Individual Education Plan and the Service Plan. New Directions is an equal opportunity employer committed to championing the principles of anti-racism, justice, and equity. We welcome prospective employees from diverse cultures and backgrounds, for all positions, who will uphold our values and contribute to our mission. We aim to have a leadership and workforce that is reflective of the communities we work in partnership with. Pay and benefits <ul><li>119 hours of paid time off, in addition to paid holidays and breaks.</li><li>Access to life, dental and medical insurance.</li><li>401k with up to 3% agency matching.</li><li>$22.78 - $27.32/hr to start, additional raises guaranteed.</li><li>Consistent Monday - Friday schedule.</li><li>Join our company, where over 30% of our staff have been with us for 10 years or more.</li></ul> Minimum Education and/or Professional Qualifications/Skills <ul><li>Required: Provisional or Permanent teaching certification in an academic core area and/or in special education.</li><li>Preferred: Masters Degree in a core academic area. Initial or professional certification in an academic core area and/or in special education.</li><li>Experience with “at-risk” emotionally disturbed and/or learning disabled students preferred but not required.</li><li>New regulations under the No Child Left Behind Act effective February 2004 must be obtained to get New York State certification (see New York State Department of Education website under Teacher Certification).</li></ul> We want to emphasize that the preferred qualifications are not required and that we are committed to helping our future colleagues develop these preferred skills. We strongly encourage those who are passionate about fostering a diverse, inclusive and equitable human service organization to apply. Job Title:Teacher Department: HGLCS Title of Immediate Supervisor:Principal POSITION SUMMARY:To direct the academic, social, and emotional growth of students so that each student progresses toward thegoals and objectives outlined in both the Individual Education Plan and the Service Plan. RESPONSIBILITIES/DUTIES: 1. Direct student behavior and activities so that the accomplishment of goals is facilitated. 2. Create a learning climate that is conducive to the student’s intellectual, social, and emotional development. 3. Maintain records of student progress. Ensure that every student receives credit for work accomplished. 4. Participate in projecting future educational needs in programming, equipment, and facilities. 5. Work with individual students or groups of students on special instructional projects. 6. Provide information that will assist in the development of appropriate learning experiences. 7. Develop instructional materials. 8. Assist students in the use of available resources. 9. Supervise students as they move between instructional areas. 10. Develop an educational plan for each student, providing for continuity in learning, as well as maximizing each student’s learningpotential. 11. Communicate with parents/guardians on a bi-weekly basis. 12. Record student daily color on force field. 13. Attend meetings for advised students (CSE, SPR). 14. Provide supervision in hallways, or lunchroom when necessary. 15. Provide in-depth academic and sociological reports about students at CSE meetings. 16. Supervise Teacher’s Aide assigned to his/her classroom. 17. Follow weekly meeting schedule, attending team and content meetings. 18. Update cottage notes daily. 19. Maintain valid NYS certification. 20. Support Campus School wide PBIS program. 21. Maintain Therapeutic Crisis Intervention and First Aid/CPR certification provided by the agency. 22. Attend all mandatory in-service training and regularly attends supervision meetings. Attends other training and in-services as neededto maintain a level of expertise in the field. 23. Any additional duties assigned by immediate supervisor. SKILL, QUALIFICATIONS, KNOWLEDGE, ABILITY &amp; PHYSICAL REQUIREMENTS: Minimum Education and/or Professional Qualifications/Skills Required: Provisional or Permanent teaching certification in an academic core area and/or in special education. Preferred: Masters Degree in a core academic area. Initial or professional certification in an academic core area and/or inspecial education. Experience with “at-risk” emotionally disturbed and/or learning disabled students preferred but not required. New regulations under the No Child Left Behind Act effective February 2004 must be obtained to get New York State certification(see New York State Department of Education website under Teacher Certification). Special – Personal Skills, Qualities, Aptitudes and Physical Requirements New Directions Youth &amp; Family Services, Inc. is an equal opportunity employer. Reasonable accommodations may be made to enablepersons with disabilities to perform essential functions. 1. Ability to work effectively with youth, families, staff and community contacts from a variety of cultural and ethnic backgrounds. 2. Ability to deal effectively with hostile youth and/or families. 3. Ability to accept supervision and perform as part of a team. 4. Ability to be flexible and adapt to change. 5. Ability to interface with people (groups and individuals) and communicate within various mediums (logbooks, E-mail, telephone). 6. Must have a valid driver’s license, adequate auto insurance and meet the criteria for driving set forth in the New DirectionsDriver’s License policy and Auto Insurance policy. 7. Ability to pass annual physical for Category 3 job classification in accordance with New Directions Employee Health policy. 8. Must comply with Agency safety standards and be responsible for own actions and conduct concerning safety and healthyworking conditions.

New Directions Youth and Family Services

Teacher - Science

15-Jul-2024<h4>Senior Data Scientist, Generative AI Products, HBS Foundry</h4>Harvard Business School 66313BRPosition DescriptionWe are seeking a talented Generative AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users. As a Senior Data Scientist specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the Harvard Business School (HBS) Foundry team and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge. AI Tool Development and Implementation<ul><li>Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing</li><li>Ensure quality of datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build code and provide documentation with ways of working to maximize time to value, re-usability, and scalability.</li><li>Designing, developing, deploying, and implementing multi-agent AI tools that:<ul><li>Assess and provide feedback on venture-related submissions</li><li>Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support entrepreneurs</li><li>Act as a counterparty to simulate important entrepreneurial interactions such as customer interviews, negotiations with an investor, etc.</li><li>Designing generative AI models using techniques like natural language processing and machine learning that can power interactive tools on HBS Foundry.</li></ul></li><li>Designing an AI-powered system that collects key factors to determine a learner’s profile, entrepreneurial progress, and venture progress, and provides customized learning pathways based on these factors.</li><li>Integrating AI tools into the HBS Foundry platform in a seamless manner so they are easy for users to access and utilize.</li><li>Collaborate on technical vision to accelerate product impact through cutting-edge LLM innovations.</li><li>Building guardrails, compliance rules, and oversight workflows into the GenAI tools and Foundry platform.</li><li>Continually improving AI tools using feedback from users to ensure they are providing valuable assistance.</li></ul>Project and Performance Management<ul><li>Monitor, debug, track, and resolve production issues.</li><li>Work with the Foundry Project Director to ensure that projects proceed on time and on budget.</li><li>Collaborate with Product Managers to ensure proper tracking of performance KPIs and prioritize improvements based on effort and impact.</li><li>Presenting prototypes and progress updates to stakeholders.</li></ul>Research and Collaboration<ul><li>Staying up to date on the latest advances in AI/ML research and identifying how new techniques could enhance the HBS Foundry platform.</li><li>Collaborating with a team of engineers, designers, and subject matter experts to deliver high-quality, helpful AI-powered experiences.</li><li>This role is responsible for other duties as assigned.&nbsp;</li></ul>Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications:<ul><li>Advanced degree in computer science, data science, engineering, or a related field within AI/ML</li></ul>Additional/Desired Qualifications:<ul><li>3+ years of experience building (Generative) AI models and tools highly preferrable</li><li>Experience working in a similar role in a startup environment preferrable</li><li>Expertise in NLP, deep learning, and other relevant techniques</li><li>Strong programming skills in Python and frameworks like TensorFlow</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools</li><li>Experience integrating AI into consumer-facing applications (front-end and back-end development for integrating AI solutions into web applications</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools (such as NeMo)</li><li>Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience working with a variety of relational SQL and NoSQL databases, big data tools (such as Hadoop, Spark, Kafka), and at least one cloud provider solution (AWS highly preferrable)</li><li>Experience in using version control systems such as Git.</li><li>Experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Experience with API development and integration for AI services.</li><li>Understanding of and experience with of software engineering best practices like version control, CI/CD, and containerization</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience operationalizing end-to-end machine learning applications.</li><li>Excellent communication and collaboration skills</li><li>Passion for using AI to solve real-world problems</li></ul>Additional InformationThis role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday. Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. A cover letter is required to be considered for this opportunity. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globe.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionGeneral Administration, Information TechnologyDepartment Office LocationUSA - MA - Boston Job CodeI0759P Applications Professional V Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade059DepartmentDean's OfficeUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, Education, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KR1

Harvard University FAS Human Resources

Senior Data Scientist, Generative AI Products, HBS Foundry

15-Jul-2024<h4>Senior Data Scientist, Generative AI Products, Digital Transformation</h4>Harvard Business School 66242BRPosition DescriptionAs a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale. You will experiment with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies. You will be highly influential in advancing our LLM applications and guide teams towards impactful and ethical AI. We seek an expert who is eager to grow and disseminate GenAI model expertise across the organization. In this role, you will translate the needs of our cross-functional stakeholders into user-facing applications that leverage NLP techniques and large language models (LLMs). As a Sr. Data Scientist on our GenAI applications team, you will work on products like conversational search interfaces, chatbots, text summarizers, recommender engines, and more based on the needs of the constituents. You will partner with Product Managers, Machine Learning Engineers, Cloud Platform Engineers, and cross-functional partners to develop production-grade algorithms. Your innovations will drive value creation through personalized engagement, expanded reach, and experimental ways of learning that will continue the Harvard Business School leadership in education, business, and societal impact.<ul><li>Architect the overall framework and infrastructure for GenAI products like search interfaces, bots, summarizers, etc. Develop and implement techniques to optimize model performance to meet specific product goals.</li><li>Collaborate closely with product management and engineering leads to align on technical roadmap. Guide engineering teams to effectively leverage LLM capabilities in product implementations.</li><li>Establish protocols and systems for building fair, accountable and transparent LLM-based applications. Lead efforts to proactively assess and mitigate risks due to model biases or failures.</li><li>&nbsp;Implement robust feedback pipelines, monitoring and corrections to ensure model safety.</li><li>Design and oversee curation of high-quality datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.</li><li>Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in. Contribute novel research and analyses to leading academic conferences and journals.</li><li>Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value. Proactively analyze latest developments in large language models to deeply understand model capabilities, limitations, and best practices. Develop techniques to continually improve language understanding and model training.</li><li>Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds.</li><li>Mentor and develop junior data scientists in state-of-the-art GenAI methods</li><li>Set technical vision and lead initiatives to accelerate product impact through cutting-edge LLM innovations.</li><li>Complete other responsibilities as assigned.</li></ul>Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications: <ul><li>Minimum of three years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.</li><li>Experience with production RAG pipelines and agentic information retrieval and search systems, with the ability to write production level code.</li><li>Minimum of five years’ experience with Python.</li><li>Minimum of three years' experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.)</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools.</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications.</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning.</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems.</li><li>Deep understanding of underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs.</li><li>Experience with cloud computing platforms and tools - AWS</li><li>Experience operationalizing end-to-end machine learning applications.</li></ul> Additional/Desired Qualifications: <ul><li>Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired.</li></ul>Additional InformationThis role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday.&nbsp;Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globe.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionInformation Technology Department Office LocationUSA - MA - Boston Job CodeI0759P Applications Professional V Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade059DepartmentDigital TransformationUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, Education, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KR1

Senior Data Scientist, Generative AI Products, Digital Transformation

Job Description<h4>Join the Clean Energy Revolution</h4>Become an Environmental Science Advisor at Southern California Edison (SCE) and help build a better tomorrow. In this job, you’ll be responsible for leading a multi-disciplinary environmental technical review team, including external consultants, to plan, permit, and construct major infrastructure projects. Owning the responsibility for large, complex, environmental documents is in your comfort zone, including quality assurance, client management, schedule and budget management, and team coordination. You are a highly organized project manager and enjoy translating environmental compliance requirements into actionable steps for operations and field crews. You love helping project teams anticipate issues, avoid or solve problems, and define environmental compliance strategies. Working with colleagues and clients is something that motivates you. As an Environmental Science, Advisor, your work will help power our planet, reduce carbon emissions and build cleaner air for everyone. Are you ready to take on the challenge to help us build the future?A day in the life - Get ready to think big, work smart and shine bright!<ul><li>Manage multi-disciplinary technical teams and external consultants to perform environmental analysis supporting infrastructure project development including SCE’s road network, environmental permitting, and implementation. </li><li>Develop, direct, and/or implement compliance approaches to permit acquisition in coordination with technical experts, including biologists, cultural resource specialists, water quality specialists, GIS, etc.</li><li>Prepare, process, and review CEQA/NEPA compliance documents and related technical studies.</li><li>Clearly communicate environmental strategy, policy, and compliance requirements to internal and external stakeholders for infrastructure project planning, permitting, and construction.</li><li>Maintain an understanding of CEQA and NEPA, including staying up to date on case law to accurately advise internal client organizations.</li><li>Establish project objectives, timelines, risks, milestones, deliverables, and budgets and track and report on this information. </li><li>Be responsible for consultant scope, budget, and invoicing and work with contractors to maintain high degree of accuracy, quality, and prompt issue resolution.</li><li>Contribute to cross-functional teams (e.g., engineers, field crews) to address issues and solve problems to advance projects.</li><li>Develop and contribute to the development of technical resource area processes and/or guidance for projects to ensure consistency and standardization of resource impact analysis and compliance implementation.</li><li>Provide strategic recommendations and highlight risk to support SCE project development and execution.</li></ul><h4>The essentials</h4><ul><li>Seven (7) or more years of experience in environmental, land—use, and/or long-range planning or environmental compliance and permitting</li><li>Experience with Federal (NEPA) and state (CEQA) environmental law/process, as well as other relevant laws and regulations </li></ul><h4>The preferred </h4><ul><li>Bachelor’s degree or higher in urban planning, environmental studies, or related subject area</li><li>Three (3) or more years of experience with regulatory compliance and permitting such as CEQA/NEPA, Endangered Species Act and Clean Water Act, California Public Utilities Commission (CPUC) General Order 131-D, for a variety of development projects</li><li>Geographic Information System (GIS) experience</li><li>Excellent writing skills and ability to present complex technical information in an easily understandable format and context</li><li>Demonstrate strong ethics, influencing and negotiation skills, leadership, interpersonal skills, communication, and the ability to handle stress and engage in continuous learning</li><li>Project Management certification</li><li>Experience working with state and federal land management agencies (e.g., U.S. Forest Service, Bureau of Land Management, National Park Service, California State Parks, etc.) and the CPUC </li><li>Two (2) or more years of project support or management activities such as tracking project details, schedules, budgets, invoices, and interacting with internal/external clients</li><li>Utility industry experience</li><li>Ability to develop and maintain strong working relationships with business partners, cross-functional project teams, peers, all levels of managements, and external stakeholders </li></ul><h4>You should know </h4><ul><li>This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.</li><li>Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!</li><li>Position will require up to 15% traveling and being out in the field throughout the SCE service territory.</li><li>This position has been identified as a NERC/CIP impacted position - Prior to being hired, the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation. Once hired, the candidate must complete specified training prior to gaining un-escorted access to assigned work location and performing necessary job duties.</li><li>Relocation does not apply to this position.</li></ul><h4>About Southern California Edison</h4>The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.At SCE, we celebrate our differences. We are a proud Equal Opportunity Employer and will not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

Southern California Edison

Environmental Science Advisor [HYBRID]

The hiring range for this role is: &nbsp;$107,666.00 - $150,995.00This is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting.&nbsp; We may ultimately pay more or less than the hiring range andthis hiringrange may also be modified in the future. A candidate’s position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs.&nbsp;This job is also eligible for annual bonusincentivepay.We offer a comprehensive package of benefits including paid time off, 11 holiday medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.Develops (authors) evidence-based medical policy reviews to provide timely, clinical effectiveness information on medical technologies (i.e., procedures, devices, diagnostic tests, and drugs). Analyzes medical evidence and drafts medical policy, including complex analyses and evidence synthesis, for review by the BCBSA Medical Policy Panel (MPP-a panel comprised of Plan clinicians/medical directors) and in select cases review by the BCBSA Medical Advisory Panel (MAP-an external panel comprised of nationally recognized experts in technology assessment, clinical research and clinical practice).Identify, critically appraise, and summarize scientific literature and clinical practice guidelines for medical technologies (procedures, devices, diagnostic tests and drugs). Perform thorough and objective analysis of the research design and validity of conclusions of current literature and unpublished data. Prepare clear, documented and defensible reports that summarize this information as evidence summary reports for presentation to the MPP and MAP. Provide technical expertise to facilitate the Panel’s review processes. Contribute to the scientific quality, credibility and consistency of BCBSA Reference Medical Policies through participating in the peer review process and various learning activities (e.g., Learning Sessions, Journal Clubs, Medical Advisory Panel meetings, team meetings). Utilize expertise in designated clinical specialty to serve as resource to Medical Policy Services (MPS) staff and the MPP. Additional MPS project work contribution: Support MPS Leadership in managing/performing various MPP-related operations and other special projects as requested (e.g., Contribute to research needed for updating search strings, research on topics salient to the BCBSA external engagements and quality measure when requested, etc.)Education<ul><li>Required - Masters Degree; MPH, MHA, MS or equivalent in biomedical or biostatistical science or evaluation research.</li><li>Preferred - PhD; PhD. PharmD.</li></ul> Experience<ul><li>Research and/or clinical experience in researching, analyzing and presenting synthesis of clinical data</li></ul> Skills<ul><li>MPH, MHA, MS or equivalent in biomedical or biostatistical science or evaluation research.</li><li>Research and/or clinical experience in researching, analyzing and presenting synthesis of clinical data</li><li>Demonstrated methodological skills in evaluation of research design, statistics or critical appraisal of clinical studies.</li><li>Ability to work independently to generate, synthesize and analyze data, reports and tables.</li><li>Technical proficiency with information technologies (e.g. Microsoft Office) and literature-searching.</li><li>Excellent verbal and written communication skills, problem solving and organizational abilities.</li><li>Demonstrated ability to manage multiple projects with overlapping timetables.</li><li>Demonstrated presentation skills to facilitate the review and understanding of materials.</li><li>Experience in working collaboratively with physicians, clinical investigators and research scientists.</li><li>Ability to work effectively as a team member.</li></ul> People Management No#LI_HYBRID

Blue Cross Blue Shield Association

Sr Research Scientist

27-Jun-2024<h4>Lead Data Scientist, Generative AI Products, Digital Transformation</h4>Harvard Business School 66178BRPosition DescriptionAs our Lead Data Scientist, you will collaborate with and shepherd the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale, experimenting with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies. You will be highly influential in advancing our LLM applications and guide teams towards impactful and ethical AI. We seek an expert who is eager to grow and disseminate GenAI model expertise across the organization. In this role, you will translate the needs of our cross-functional stakeholders into user-facing applications that leverage NLP techniques and large language models (LLMs). As a Lead Data Scientist on our GenAI applications team, you will work on products like conversational search interfaces, chatbots, text summarizers, recommender engines, and more based on the needs of the constituents. You will partner with Product Managers, Machine Learning Engineers, Cloud Platform Engineers, and cross-functional partners to develop production-grade algorithms. Your innovations will drive value creation through personalized engagement, expanded reach, and experimental ways of learning that will continue the Harvard Business School leadership in education, business, and societal impact.<ul><li>Architect the overall framework and infrastructure for GenAI products like search interfaces, bots, summarizers, etc. Develop and implement techniques to optimize model performance to meet specific product goals.</li><li>Collaborate closely with product management and engineering leads to align on technical roadmap. Guide engineering teams to effectively leverage LLM capabilities in product implementations.</li><li>Establish protocols and systems for building fair, accountable and transparent LLM-based applications. Lead efforts to proactively assess and mitigate risks due to model biases or failures.</li><li>Implement robust feedback pipelines, monitoring and corrections to ensure model safety</li><li>Design and oversee curation of high-quality datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.</li><li>Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in. Contribute novel research and analyses to leading academic conferences and journals.</li></ul> Additional responsibilities are listed in the Additional Qualifications section below. Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications:<ul><li>Bachelors/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 8+ years equivalent work experience</li><li>3-5 Years Experience in developing a variety of machine learning models and algorithms in a commercial environment with a track record of creating meaningful business impact</li><li>Experience with production RAG pipelines and agentic information retrieval and search systems, with the ability to write production level code.</li><li>Strong Python skills required</li><li>Minimum of three years' experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.)</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience with cloud computing platforms - AWS</li><li>Prior experience in leading data science and machine learning focused on solving business problems and seizing business opportunities</li></ul> Desired/Preferred Qualifications:<ul><li>Proficiency in at least one open-source programming language (R, Java, C++ or another) and SQL desirable</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications</li><li>Ability to mentor and lead others; provide hands-on technical guidance; conduct code reviews</li><li>Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas</li><li>Experience working in agile methodology</li></ul> Additional duties and responsibilities include, but are not limited to, the following:<ul><li>Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value. Proactively analyze latest developments in large language models to deeply understand model capabilities, limitations, and best practices. Develop techniques to continually improve language understanding and model training</li><li>Mentor and develop junior data scientists in state-of-the-art GenAI methods</li><li>Set technical vision and lead initiatives to accelerate product impact through cutting-edge LLM innovations</li><li>Manage, coach and mentor a team of data scientists, serving at the predominant technical data science and machine learning expert</li><li>Actively contribute to and re-use community best practices</li><li>Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds</li><li>Promote data science, machine learning, AI, and digital and emerging technologies at Harvard Business School in relevant channels through community engagement, networking, speeches, and publications as applicable</li><li>This role is responsible for other duties as assigned</li></ul>Additional InformationThis role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday. Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globeBenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionInformation Technology Department Office LocationUSA - MA - Boston Job CodeI0760P Applications Professional VI Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade060DepartmentDigital TransformationUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, Education, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KR1

Lead Data Scientist, Generative AI Products, Digital Transformation

Position Title Adjunct Faculty Forensic Science (Pooled Position) Job Category Adjunct Range Minimum Position Type Adjunct Department Biology/Chemistry Job Summary All adjunct faculty positions have as their primary objective to create a dynamic teaching/learning environment for our students, while contributing service to the college. Adjunct faculty responsibilities include teaching assigned courses and following the course description and course outline established by the department. Teaching schedules may include day/evening courses and online/hybrid instruction and other instructional modalities. In accordance with the Adjunct Faculty collective bargaining agreement (CBA), additional activities may include participation in departmental initiatives, evidence of academic achievements, recognition by professional and community organizations, and other duties. Qualifications - Education Master’s Degree from a regionally accredited institution in appropriate discipline required. A doctorate and/or licensure in a specific discipline preferred and may be required depending on the discipline. Qualifications - Experience Prior college or university teaching experience preferred, as is evidence of scholarly and/or professional activities. Additional job experience may be substituted for a Masters Degree in selected discipline. Qualifications - Skills Demonstrated knowledge of discipline including current developments and technologies in related fields of specialization. Ability to teach lab courses and/or tutor in learning centers as appropriate. Ability to work with diverse groups of students. Strong verbal and written communication skills. Work Hours

County College of Morris

Adjunct Faculty Forensic Science  (Pooled Position)

Commitment to MissionThis job carries with it the obligation to uphold the Mission of Lone Star College (LSC) in carrying out the duties of the position.&nbsp; A commitment to positive interpersonal behaviors, professional communication, integrity, leadership, stewardship, respect and accountability to LSC students and employees is essential.Cultural Beliefs<ul><li>One LSC</li><li>Student Focused</li><li>Own It</li><li>Foster Belonging</li><li>Cultivate Community</li><li>Choose Learning</li></ul>The Chronicle of Higher Education's "Great Colleges to Work For®" is designed to recognize colleges that have been successful in creating great workplaces and to further research and understanding of the factors, dynamics and influences that have the most impact on organizational culture at higher education institutions.Lone Star College has been recognized in multiple categories.Qualities of ExcellenceAs faculty members of Lone Star College, we strive to create a nation of world citizenry in our students. In that pursuit, we model ways of thinking and being that incorporate diversity, equality, and equity. Our culture, then, requires the possession of transcendent qualities that, while immeasurable, are evident in global citizens. We are compassionate with our students, colleagues, and ourselves. We are innovative in the pursuit of learning. Ultimately, we create a culture where learning thrives, people are safe, and we mirror the qualities of world citizenry.Lone Star College faculty are dedicated to four qualities of excellence:<ul><li>Student Invested</li><li>Content Expert</li><li>Pedagogically Excellent</li><li>Institutionally Dedicated</li></ul>Campus Marketing StatementLone Star College-Westway Park Technology CenterLone Star College offers high-quality, low-cost academic transfer and career training education to 80,000+ students each semester. LSC has been named a 2023 Great Colleges to Work For® institution by the Chronicle of Higher Education. LSC consists of eight colleges, seven centers, eight Workforce Centers of Excellence and Lone Star Corporate College.LSC-Westway Park Technology Center, a satellite center of LSC-CyFair, is located between Clay and Tanner roads off the Sam Houston Tollway. This center will focus on LSC-CyFair's Visual Communication and Information Technology workforce training programs with certificates and degrees in areas such as Cisco and Microsoft Networking, Cyber Security, Computer Forensics, Graphic and Web Design, and 3D animation.Location address is 5060 Westway Park Boulevard, Houston, TX 77041.Job DescriptionPURPOSE AND SCOPE:It is the responsibility of the teaching faculty to provide the learning activities and support that will lead to the achievement of the course objectives and contribute to the educational environment of the college and the community. Primary responsibilities are to plan, develop and teach courses within the curriculum in a manner that facilitates student learning.Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis, contingent upon the needs of the System. Lone Star College accepts application material year-round from qualified applicants willing to teach on a part-time basis. Adjunct (part-time) faculty hiring is based on student demand. We offer day, evening, and weekend classes. Classes are offered at various times and locations during the academic year. As a rule, adjunct faculty may teach a maximum of five classes per academic year.ESSENTIAL JOB FUNCTIONS:<ul><li>Teaches Computer Information Technology&nbsp;courses at a variety of times and locations</li><li>Creates engaging lessons that promote student involvement and application of the material.</li><li>Submits required college reports and forms in a timely manner</li><li>Utilizes a course syllabus for each course, following established institutional guidelines</li><li>Meets with and advises students either before or after class or by appointment, electronic communication, or other appropriate methods</li><li>Evaluates students to measure their progress in achieving course objectives and informs students in a timely manner of their progress</li><li>Maintains professional relationships with students, colleagues, and the community</li><li>Attends meetings, trainings, and orientations as required</li><li>Responsible for other reasonable related duties as assigned</li></ul>KNOWLEDGE, SKILLS, AND ABILITIES:<ul><li>Mastery of course content</li><li>Demonstrated leadership skills; Style that emphasizes collaboration, teamwork, and facilitation</li><li>Excellent oral and written communication skills and interpersonal skills</li><li>Ability to appreciate alternative viewpoints; Ability to work effectively with a wide variety of people</li><li>Demonstrates interest in interdisciplinary teaching, service learning, learning technologies, course development, and adult learning methodologies including collaborative learning, learning communities and distance learning</li><li>Commitment to academic excellence, exceptional service and providing a dynamic climate for life-long learning</li><li>Demonstrated ability to develop and implement instructional approaches such as service learning/civic engagement, learning communities, and the effective use of technology</li><li>Ability to use effective strategies to engage students in their learning</li></ul>PHYSICAL ABILITIES:The work is sedentary. Typically, the employee sits comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items, such as papers, books, or small parts; or driving an automobile. No special physical demands are required to perform the work.WORK SCHEDULE AND CONDITIONS:&nbsp;<ul><li>Equipment used includes, PC workstation running on a LAN in a Microsoft Windows environment, calculator, phone and other general office equipment, and any specialized equipment standard within the discipline/industry</li><li>Interface with internal and external contacts as needed to carry out the functions of the position</li><li>Work is performed in a climate-controlled classroom and/or lab environment with minimal exposure to safety hazards</li><li>Hours will vary depending on class time; Instructors are required to meet with classes at all scheduled times and be available to students outside of class instruction</li></ul>REQUIRED QUALIFICATIONS:<ul><li>Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s). Master's degree with 18 graduate hours in a specific area of technology.</li></ul>Salary$51.75 per contact hour.Benefits Marketing StatementBy joining our top-notch institution, you will enjoy being a part of an organization that offers a supportive, collegial work environment, excellent work/life balance, tuition waiver, participation in a tax deferred retirement plan, professional development opportunities and more.Special InstructionsGo to the Job Search page, click on ‘My Activities’ at the top of the page. Under My Cover Letters and Attachments you will click on ‘Add Attachment.’ Please be sure to put the Job ID# in the title once you name your file for cover letters only, unless you attached your cover letter with your resume.If you are applying for an Instructional position (i.e. Faculty, Adjunct Faculty, Instructor), please ensure you include the following to be considered: Resume/CV, Cover Letter, Teaching Philosophy, and unofficial transcripts. You must limit your file name for any attachment to 40 characters or less.How to ApplyALL APPLICANTS MUST APPLY ONLINE ONLYWe will not accept application material received via fax, email, mail, or hand delivered.Postings for part-time and adjunct positions are active for the academic year.&nbsp; By selecting the option to receive notifications on your profile, you will begin receiving electronic communication regarding new opportunities with Lone Star College (LSC).If selected for an interview, a recruiter will contact you by phone, or email to schedule an interview.Lone Star College participates in the E-Verify program, under which Lone Star College provides the federal government with information from each new employee's Form I-9 to confirm that the employee is authorized to work in the United States.More information on the E-Verify program is available at <a href="http://www.dhs.gov/E-Verify" target="_blank">www.dhs.gov/E-Verify</a>.Lone Star College is an EEO Employer. All positions are subject to a criminal background check.

Lone Star College System

Adjunct Faculty, Computer Science - Programming

Job Description:About&nbsp;The&nbsp;Chicago SchoolThe Chicago School &nbsp;is a nonprofit university with seven in-person locations across the United States, a growing online campus, and education partnerships worldwide. The Chicago School is a minority-majority university with 6,000+ students across 35+ degree programs in psychology, behavioral health, and nursing.&nbsp;The Chicago School is committed to creating a diverse pipeline of&nbsp;future professionals who will fundamentally improve the health and well-being of future generations of diverse communities.&nbsp;&nbsp;Founded in 1979 by a group of psychologists and educators, The Chicago School has grown into a dominant and globally respected leader in the fields of psychology and behavioral health sciences. Today, The Chicago School has an annual operating budget of nearly $150M and employs nearly 600 full-time faculty and staff. As an institution, The Chicago School is deeply committed to student success, innovation, and community impact. Our students are meaningfully connected in their communities, donating more than 1.2 million service hours per year through fieldwork, practicum opportunities, and volunteerism.&nbsp;The Chicago School is part of the TCS Education System, a nonprofit system of colleges advancing student success and community impact.&nbsp;Position Summary:The Los Angeles based APA-accredited Clinical Psychology (Psy.D.) program in the College of Professional Psychology has an opening for a Program Faculty with advanced education, training, and/or experience in Cognitive Science, Cognitive Psychology, Social Psychology, Social Cognition, or related field. Program faculty work with a diverse and engaged community of students, faculty and staff in the preparation of students for entry-level practice in health service psychology. The person who fills this position will teach courses that help students understand the foundational science that underlies clinical practice, and research methods and data analytic strategies used to gain that knowledge. Over the course of the three-semester academic year, Program faculty members may be responsible for teaching, student advisement, chairing dissertations, professional service to the School and community, administration, and optional research/scholarship. While program faculty members are fundamentally responsible for teaching in accordance with TCS's workload policy, adjustments to an individual's teaching load may be made by the Department Chair based on program needs first and individual talents and abilities second. Program Faculty members are recommended to the Vice President of Academic Affairs for hire by the Department Chair.&nbsp;This is a hybrid position requiring faculty to be on campus three days per week.Principle Duties include, but are not limited to:<ul><li>Teaching<ul><li>Teach 18 credit hours over the course of three semesters</li><li>Hold office hours on a weekly basis</li><li>Remain current in field of study/teaching expertise and update course content to reflect knowledge updates</li><li>Prepare course syllabus and plans in accord with Department requirements</li><li>Select textbooks and teaching aids as required</li><li>Classroom instruction including lectures, demonstrations, discussions, or other appropriate modes of education delivery in a higher education setting</li><li>Develop, and regularly update, a system for ongoing evaluation of teaching and student learning</li><li>Provide students with ongoing, timely feedback regarding their attainment of course and program competencies</li></ul></li></ul><ul><li>Advising&nbsp;<ul><li>Maintain an advisee load according to Department needs</li><li>Spend time with advisees to provide mentorship on matters related to their academic, curricular, and career development</li><li>Mentor advisees in preparing their vita and training application materials, as well as write recommendation letters</li><li>Assist the Department Chair in documenting student progress through the program; when necessary, this includes crafting individual Academic Development Plans for Advisees, tracking their compliance, and documenting their progress</li><li>Present progress of advisees to Faculty at semester Student Review meetings, meet with advisees to gather additional information or communicate Faculty concerns, and report back to Faculty on the results&nbsp;</li></ul></li></ul><ul><li>Scholarship<ul><li>Supervise doctoral dissertation projects within the faculty member’s area of expertise using quantitative, qualitative, or program evaluation methods of inquiry</li><li>Using the Boyer model of scholarship, faculty may pursue additional scholarly interests including qualitative/quantitative research, presentations at professional conferences, scholarship-based community service, etc.</li></ul></li></ul><ul><li>Service to Institution<ul><li>Participate in Departmental functions, including but not limited to participating in the analysis of student progress, assisting in general faculty searches, and admissions activities, contributing to general and specific curriculum development activities, mentoring of new faculty members, and other related duties as assigned</li><li>Attendance at faculty meetings and participation in the Faculty Assembly is an expectation.</li><li>Service on committee(s) as agreed upon with Department Chair, including Departmental and Institutional Committees.</li></ul></li></ul><ul><li>Professional Service<ul><li>Maintain scholarly activities that further the practice of professional psychology</li><li>Foster education of, and interest in, student service in the community</li><li>Engage in community service</li></ul></li></ul>Position Qualifications:<ul><li>Ph.D. from a regionally accredited institution</li><li>Teaching experience of at least 3 years preferred</li><li>Record of scholarship and/or community service preferred</li><li>Ability to behave in a collegial and professional manner with all members of The Chicago School community.</li><li>Ability to adhere to the highest professional conduct and ethical standards of the profession of psychology</li></ul>Application:To apply, please complete this application and include a letter of interest, curriculum vitae, and teaching evaluations (if available). For more information about The Chicago School visit <a href="http://www.thechicagoschool.edu" target="_blank">www.thechicagoschool.edu</a>.Compensation &amp; BenefitsThis opportunity is budgeted at $$75,000 to $85,000 base compensation. Additional compensation factors may impact total compensation. To learn more about our competitive benefits and additional rewards, including generous paid time-off, medical and dental insurance coverage, life and disability insurance, retirement plan with employer contribution, multiple flexible spending accounts, tuition reimbursement, click the link below.<a href="https://www.thechicagoschool.edu/career-opportunities/" target="_blank">https://www.thechicagoschool.edu/career-opportunities/</a>The Chicago School is an Equal Opportunity Employer.Please note: For the protection of faculty, staff, students, and all who enter our facilities, The Chicago School strongly recommends that all employees are fully vaccinated for COVID-19 per CDC guidance.

The Chicago School of Professional Psychology

Department Basic Science Faculty, Clinical Psychology Department - Los Angeles

<h4>Overview</h4>At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.&nbsp;LMI is seeking a Senior Data Science Consultant to lead in developing, testing, and fielding advanced algorithms in support of a supply chain risk program for the Department of Defense.<h4>Responsibilities</h4><ul><li>Leverage deep and broad knowledge of advanced data science concepts to streamline the curation and analysis of complex supply-chain data</li><li>Use knowledge of advanced topics in data science, such as active learning, semi-supervised learning, bias calculation, etc.</li><li>Write python, spark, and SQL code to prepare and analyze data in both research and production environments</li><li>Work closely with data engineers, UI developers, and subject matter experts to develop and deploy data science methods in support of an evolving software suite</li><li>Lead and execute on data science tasking in support of multiple teams, coordinating prioritization across them as needed</li><li>Rapidly spin up on new data science topics and methods as they become applicable to the project</li><li>Work comfortably in a Data Bricks environment, where most code is developed, tested, and deployed via notebooks</li><li>Quickly learn, and be excited to leverage, novel data science techniques to solve real-world challenges involving large scale, often messy data sets</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science, Data Science, or related field and/or equivalent work experience</li><li>5+ years of experience as a data scientist</li><li>Experience with:<ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li><li>Scikit-learn or similar python packages</li></ul></li><li>Highly effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance required (Top Secret clearance desired)</li></ul><h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

226 Natural and Environmental Sciences Jobs