Data Scientist

This position will support independent and collaborative research programs in biostatistics and health outcomes research. Under the direction of senior team members, you will clean and analyze RWE data, implement established statistical methods, document reproducible analyses, and contribute to observational studies and partner deliverables. You will work with researchers, clinicians, product teams, and engineers to translate well-defined research questions into analyses and to communicate results clearly.

Key Responsibilities

• Research Support and Collaboration – 25%
  • Support research projects conducted with public health agencies, hospitals and health systems, and academic institutions
  • Contribute to observational studies, such as cohort and cross-sectional analyses, using administrative, claims, and EHR data
  • Work with senior team members and subject matter experts to refine research questions and analytical requirements
  • Assist product and engineering teams in translating validated findings into product features or implementation requirements
• Study Design and Statistical Analysis – 25%
  • Implement statistical analysis plans and research protocols developed with senior researchers
  • Apply established statistical methods, including descriptive statistics, hypothesis testing, regression models, and basic propensity score methods, with guidance
  • Perform data quality checks, create analytic datasets, and document assumptions, code, and results to support reproducibility
  • Generate and test defined hypotheses and summarize study results for clinical, operational, and policy audiences
• Stakeholder Engagement and Research Partnerships – 15%
  • Participate in meetings with agency, health system, academic, and internal partners to gather requirements and provide analytical updates
  • Document partner needs, decisions, and follow-up actions
  • Use developing clinical, public health, or technical knowledge to help translate partner questions into measurable outcomes
  • Contribute analysis details and acceptance criteria to product backlogs
• Publishing and Presentations – 15%
  • Contribute analyses, tables, figures, methods, and results to peer-reviewed manuscripts and technical reports
  • Prepare presentation materials, posters, and supporting documentation for conferences, partner meetings, and internal reviews
  • Present assigned portions of project work with coaching from senior team members
• Knowledge Sharing – 10%
  • Share analytical approaches, demonstrations, and lessons learned with colleagues
  • Participate in technical reviews, training, and professional development
  • Build proficiency in healthcare data, epidemiologic methods, and team tools
• Research Operations – 10%
  • Contribute to project estimates, research timelines, and work plans
  • Follow established research standards, operating procedures, version-control practices, and quality checks
  • Participate in peer review of code, analyses, and deliverables and address feedback promptly

Required Qualifications

Work Experience:

Years of Applicable Experience - 2 or more years

Education:

Bachelors (Required)

Preferred Qualifications

Skills:

• Foundational knowledge of statistics, epidemiology, or healthcare analytics
• Ability to clean, join, summarize, and analyze structured data
• Clear technical writing, presentation, and collaboration skills
• Working knowledge of R or Python and SQL; familiarity with reproducible analysis and data modeling

Experience:

• Academic, internship, or professional experience analyzing healthcare, public health, clinical, or other complex datasets
• Experience applying statistical methods through coursework, research, internships, or employment
• Experience producing documented analyses, tables, figures, or technical reports
• Ability to work effectively on cross-functional teams and incorporate technical review feedback
• Familiarity with real-world evidence datasets, including administrative claims or EHR data
• Exposure to observational study designs, generalized linear models, propensity scores, or causal inference concepts
• Experience with Git, Posit, Databricks, or another collaborative analytics environment
• Coursework, internship, thesis, or publication experience in healthcare or public health research

Education:

Master’s degree, in statistics, biostatistics, epidemiology, public health, data science, economics, mathematics, engineering, or a related empirical field

Additional Job Requirements

• Remain in a stationary position for prolonged periods of time
• Be adaptive and change priorities quickly; meet deadlines
• Attention to detail
• Operate computer programs and software
• Ability to communicate effectively with audiences in person and in electronic formats.
• Day-to-day contact with others (co-workers and/or the public)
• Making independent decisions
• Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Working Conditions

Remote

Travel Requirements

Travel 1-20% within the US

Physical Demands

Sedentary: Exerting up to 10 pounds of force occasionally, and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves remaining stationary most of the time. Jobs are sedentary if movement is required only occasionally, and all other sedentary criteria are met.

Compensation

Premier’s internal salary range for this role is $72,000 - $120,000. Final salary is dependent upon several market factors including, but not limited to, departmental budgets, internal equity, education, unique skills/experience, and geographic location.

Benefits

Qualified full-time and part-time employees also receive access to the following benefits:

• Health, dental, vision, life and disability insurance
• 401k retirement program
• Paid time off
• Participation in Premier’s employee incentive plans
• Tuition reimbursement and professional development opportunities

Equal Opportunity Employer

Premier is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to unlawful discrimination.