Leverage machine learning and statistical modeling to develop predictive models and AI solutions, while collaborating with stakeholders to communicate findings and ensure reproducibility in healthcare data analysis.

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.