Title: Data Science Analyst Location: Brentwood United States Job Description: Premise Health is Different on Purpose Premise Health serves large organizations and their people with exceptional healthcare. The result? Better experiences, better health, and better value, all while helping organizations lower their healthcare costs. Premise's mission is to help people get, stay, and be well. Come join us and see for yourself why amazing health starts with amazing healthcare. For more information, visit www.jobs.premisehealth.com. The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to solve healthcare business problems. You will develop predictive models, build AI-powered solutions, and deliver insights to both technical and non-technical stakeholders. This is a Full Time, remote, Data Science Analyst role. What You'll Do - Analysis, Model Development & AI Solutions: - Perform exploratory data analysis to identify patterns and opportunities in healthcare data - Develop predictive models and machine learning solutions under guidance of senior team members - Document model methodology, assumptions, and results to ensure reproducibility - Design text analytics and classification pipelines using LLMs and NLP techniques - Build generative AI solutions including prompt engineering pipelines and LLM-based classification - Develop and evaluate AI agent workflows for business process automation - Work with LLM APIs and model serving endpoints to integrate AI into analytical solutions - Collaboration & Communication: - Partner with senior data scientists and stakeholders to align on project goals - Communicate findings and methodologies clearly to technical and non-technical audiences - Demonstrate a willingness to learn by incorporating feedback effectively - Technical Execution: - Work with common healthcare data including claims, EHR, and laboratory datasets - Write clean, well-structured, and documented code in Python, PySpark, SQL - Use Git for version control and follow structured development practices What You'll Bring - Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related STEM field; or completion of an accredited data science or applied AI program - 3+ years of experience in data science, AI/ML or advanced analytics - Coursework or projects in applied machine learning and neural networks - Coursework or projects involving generative or agentic AI, LLMs, or NLP - Experience with Python, SQL, and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.) - Healthcare data experience preferred - Familiarity with deploying ML/predictive models to production environments - Understanding of statistical methods, AI/ML algorithms, neural networks, and deep learning concepts - Familiarity with generative AI concepts: prompt engineering, LLM APIs, and retrieval-augmented generation (RAG) - Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.) - Familiarity with Python, SQL, and Git (version control) - Experience with the following is a plus: - Cloud: Azure, Databricks - Version Control: GitLab - IDE: VS Code Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full-time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company-sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Premise is an equal opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law. Premise provides its reasonable and genuinely expected range of compensation for this job of $75,000.00 - $87,000.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors. For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will earn 0.0692 hours of paid time off per actual hours worked or based on standard schedule, per pay period, and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.

Job Description Job Description: Goucher College’s Graduate & Professional Studies seeks non-tenure-track adjunct faculty to teach the following graduate courses within the M.A. in Policy Analytics (MAPA) program. The course will be offered synchronously online (via Teams), starting on August 25, 2026. The instructor will be required to maintain a Canvas site for course resources. Of particular interest are candidates who have experience teaching and engaging students from diverse backgrounds. We are particularly interested in candidates who can deepen our students’ understanding of the interactions between the practical use of analytical tools and methods for evaluating, designing, and improving public policies. Contracts for adjunct faculty are subject to renewal on a semester-by-semester basis, depending on factors such as enrollment, instructor availability and performance, and student success. Data Ethics (3 credits) This course provides a framework to analyze the ethical and fair use of big data. This course investigates ethical issues arising from data-driven societal decision-making. Students delve into key areas such as bias, fairness, privacy, surveillance, and discrimination, as well as data collection, storage, and management. Through case study analysis and hands-on experiments, this course will help data professionals better understand the ethical implications involved in data analytics and the use of technologies such as artificial intelligence. The class particularly focuses on policy matters and global governance standards. Requirements: A successful candidate would be able to begin teaching on August 25, 2026, and teach the course on Wednesday evenings. Preference is given to candidates who have previously taught such a course. Minimum Qualifications: - A Master’s degree in a relevant field, such as Data Analytics, Computer Science, Statistics, Economics, Applied Mathematics, Political Science, or other social sciences, with strong quantitative method training. - Demonstrated ability to use at least one major data tool like R or Python - At least one year of experience teaching at the college level in data analysis, research methods, or quantitative reasoning - Comfortable working with students from diverse disciplinary and professional backgrounds, including those without strong math or coding foundations. Preferred Qualifications: - A Ph.D., J.D., or other terminal degree in a relevant field, such as Data Analytics, Computer Science, Statistics, Economics, Applied Mathematics, Political Science, or other social sciences, with strong quantitative method training. - Experience teaching data ethics at the graduate level in person and/or online - Experience teaching graduate-level courses in data analysis, research methods, or quantitative reasoning - Ability to teach diverse learners (e.g., students with policy, nonprofit, or humanities backgrounds) and guide students through individual projects and team-based work. Salary: TBD, based on qualification and experience. Application Instruction: Interested candidates should submit the following materials: - A curriculum vitae - A cover letter that contextualizes the candidate’s teaching interests, research, and professional experience (please indicate for which course(s) you are applying to teach) - Sample syllabus and teaching evaluations, if available - Contact information for two references. Recommendation will be solicited if selected for an interview. The review of applications will begin on April 15th, 2025, and will continue until the position is filled.   Goucher College is an Equal Opportunity Employer. Candidates must be able to provide proof of eligibility to work in the USA. No visa sponsorship is offered for this position. For questions, contact Stefanie I. Kasparek (maapa@goucher.edu). Job Category: Adjunct Faculty Internal Employees: Apply Internally using the Find Jobs Report. About Goucher College Since its founding in 1885, Goucher College has been a place of innovation and excellence. As a private liberal arts college, Goucher is dedicated to teaching students to be complex problem-solvers prepared for the jobs of the future. Small class sizes, a rigorous curriculum, and dedicated faculty and staff allow for personalized mentorship for each student. Named one of the most innovative colleges in the country by U.S. News & World Report, Goucher is a leader in global education and was one of the first colleges in the country to offer 100% study abroad. Application Instructions: Please submit the following application materials: - Cover Letter -  Resume Goucher College is an Equal Opportunity Employer Candidates must be able to provide proof of eligibility to work in the USA. No Visa sponsorship is offered for this position. Goucher College is committed to increasing the equity of our community and seeks applicants dedicated to applying principles of equity and inclusion in all areas of the campus community.

Job Description Job Description: Goucher College’s Graduate & Professional Studies seeks non-tenure-track adjunct faculty to teach the following graduate courses within the M.A. in Policy Analytics (MAPA) program. The course will be offered synchronously online (via Teams), starting on August 25, 2026. The instructor will be required to maintain a Canvas site for course resources. Of particular interest are candidates who have experience teaching and engaging students from diverse backgrounds. We are particularly interested in candidates who can deepen our students’ understanding of the interactions between the practical use of analytical tools and methods for evaluating, designing, and improving public policies. Contracts for adjunct faculty are subject to renewal on a semester-by-semester basis, depending on factors such as enrollment, instructor availability and performance, and student success. Data Ethics (3 credits) This course provides a framework to analyze the ethical and fair use of big data. This course investigates ethical issues arising from data-driven societal decision-making. Students delve into key areas such as bias, fairness, privacy, surveillance, and discrimination, as well as data collection, storage, and management. Through case study analysis and hands-on experiments, this course will help data professionals better understand the ethical implications involved in data analytics and the use of technologies such as artificial intelligence. The class particularly focuses on policy matters and global governance standards. Requirements: A successful candidate would be able to begin teaching on August 25, 2026, and teach the course on Wednesday evenings. Preference is given to candidates who have previously taught such a course. Minimum Qualifications: - A Master’s degree in a relevant field, such as Data Analytics, Computer Science, Statistics, Economics, Applied Mathematics, Political Science, or other social sciences, with strong quantitative method training. - Demonstrated ability to use at least one major data tool like R or Python - At least one year of experience teaching at the college level in data analysis, research methods, or quantitative reasoning - Comfortable working with students from diverse disciplinary and professional backgrounds, including those without strong math or coding foundations. Preferred Qualifications: - A Ph.D., J.D., or other terminal degree in a relevant field, such as Data Analytics, Computer Science, Statistics, Economics, Applied Mathematics, Political Science, or other social sciences, with strong quantitative method training. - Experience teaching data ethics at the graduate level in person and/or online - Experience teaching graduate-level courses in data analysis, research methods, or quantitative reasoning - Ability to teach diverse learners (e.g., students with policy, nonprofit, or humanities backgrounds) and guide students through individual projects and team-based work. Salary: TBD, based on qualification and experience. Application Instruction: Interested candidates should submit the following materials: - A curriculum vitae - A cover letter that contextualizes the candidate’s teaching interests, research, and professional experience (please indicate for which course(s) you are applying to teach) - Sample syllabus and teaching evaluations, if available - Contact information for two references. Recommendation will be solicited if selected for an interview. The review of applications will begin on April 15th, 2025, and will continue until the position is filled.   Goucher College is an Equal Opportunity Employer. Candidates must be able to provide proof of eligibility to work in the USA. No visa sponsorship is offered for this position. For questions, contact Stefanie I. Kasparek (maapa@goucher.edu). Job Category: Adjunct Faculty Internal Employees: Apply Internally using the Find Jobs Report. About Goucher College Since its founding in 1885, Goucher College has been a place of innovation and excellence. As a private liberal arts college, Goucher is dedicated to teaching students to be complex problem-solvers prepared for the jobs of the future. Small class sizes, a rigorous curriculum, and dedicated faculty and staff allow for personalized mentorship for each student. Named one of the most innovative colleges in the country by U.S. News & World Report, Goucher is a leader in global education and was one of the first colleges in the country to offer 100% study abroad. Application Instructions: Please submit the following application materials: - Cover Letter -  Resume Goucher College is an Equal Opportunity Employer Candidates must be able to provide proof of eligibility to work in the USA. No Visa sponsorship is offered for this position. Goucher College is committed to increasing the equity of our community and seeks applicants dedicated to applying principles of equity and inclusion in all areas of the campus community.

Title: Principal Research Scientist II - Data Architecture, Biotherapeutics and Genetic Medicine Location: Worcester United States - Full-time - Salary Min: 141500 - Salary Max: 268500 - Workday Global Grade: 20 - Travel: Yes, 5% of the Time - Compensation: USD 141,500 - USD 268,500 - yearly Job Description: Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVie's R&D, is a global organization that is responsible for discovering and optimizing drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA etc.) for all therapeutic areas across discovery. Job Description The Principal Data Architect is a visionary leader in the development and success of our cloud-native data platform, which supports the development and integration of predictive and generative machine learning solutions in drug discovery scientist workflows. This role requires a strong ability to see both the big picture and the details, and to work cross-functionally with both wet lab scientists, ML engineers, software engineers, data engineers, and data infrastructure engineers, among others. This position reports to the Head of AI/ML in Biotherapeutics and Genetic Medicine (BGM) and will serve as a trusted advisor to senior leadership. This role is pivotal in driving our organization towards becoming a leader in the application of artificial intelligence, ensuring that AI and ML initiatives are built on a robust, resilient, and scalable data foundation that grows with the organization. Key responsibilities: - Drive the vision, execution, implementation, adoption, and continuous improvement of a robust, scalable data platform as the foundation for the execution of AbbVie's AI/ML strategy, particularly within BGM. - Define data models and architectures that collect, store, structure, access, and connect datasets generated across a dozen different lab groups, enabling downstream uses (ML model development, operational reports, lab documentation, etc.). - Collaborate closely with wet lab scientists, especially the Head of Lab Data Products, and automation engineers to maximize the utility of data captured by lab automation workflows. - Collaborate closely with data scientists, and deployment engineers, to ensure data pipelines support both machine learning model development and deployment into production. - Co-develop and execute a strategy that maximizes FAIR-fication of BGM data and in concert with wider BGM strategic goals. - Communicate the impact of a robust data platform to AbbVie's drug pipeline, using both user stories and KPIs that allow measurement of the value added. - Multiply impact of the data platform by championing and communicating the principles behind connected data, data stewardship, data-as-a-product, and cloud-first and cloud-native architectures. - Collaborate with data infrastructure and data governance experts across AbbVie to ensure that data governance principles and policy are optimally implemented. - Ensure alignment and coordination of data infrastructure initiatives with existing AbbVie initiatives such as Convergence, and ARCH. Qualifications Qualifications: - BS, MS, or PhD in computer science, data science, computational biology, computational chemistry, computational biophysics, or related field with typically 14-16+ (BS) years, 12-14+ (MS) years, or 6-8+ (PhD) years of experience in data architecture with a track record of designing enterprise data platforms. - Deep technical skills in data modeling, data integration, implementation of data storage solutions, data pipelines, and integration with AI/ML. - Production programming expertise in SQL, python, or Java. - Experience building cloud data infrastructure solutions using AWS, Azure, or GCP. - Familiar with both wet and dry lab scientific principles and processes, able to foresee and prevent data platform-originating failure modes. - Experience with cross-functional team leadership, and track record of collaboration excellence. - Previous experience in the pharmaceutical or biotechnology sectors. - Experience managing both team member delivery and career development. - Exceptional interpersonal and communication skills, and strong evidence of ability to build stakeholder alignment. - Ability to integrate data governance principles into everyday decision making. - The position is located at Worcester, MA site as a full time in office or hybrid (3 days per week) role. - Position will be hired based on level of experience - Principal Research Scientist I or Principal Research Scientist II Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: - The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at thetime of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. - We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. - This job is eligible to participate in our short-term incentive programs. - This job is eligible to participate in our long-term incentive programs 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 anybonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's soleand absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html