Data Scientist

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.

Partner support: public health agencies, health systems, and academia

• 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

• Work Experience:
  
  Years of Applicable Experience - 2 or more years
• Education:
  
  Bachelors (Required)

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…