Senior HEOR Scientist

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee the complete design, implementation, analysis, and communication of retrospective observational studies.

• Evaluate intricate healthcare datasets, including insurance claims, electronic medical records, and patient registries.

• Develop research protocols and statistical analysis strategies.

• Utilize causal inference techniques, propensity score matching, and regression modeling.

• Create, program, and sustain codebases, reusable libraries, and web applications using R, Python, SQL, and additional tools.

• Implement automation, workflow improvements, and ethical ML/AI practices.

• Act as a technical subject-matter expert for both internal and external strategic initiatives.

• Ensure alignment of data-driven insights with business and policy goals.

• Offer technical code reviews and quality assurance for peer analyses.

• Guide and mentor less-experienced team members.

⛳️ Requirements

• Bachelor’s degree with over 5 years of applicable analytics/economic modeling experience, or a Master’s degree or PhD with at least 3 years of relevant experience in a quantitative or health-related field.

• Relevant fields include economics, epidemiology, biostatistics, data science, computer science, health services research, public policy, applied mathematics/statistics, analytics, or similar disciplines.

• Proven experience in designing and executing observational research and real-world evidence (RWE) analytics utilizing claims, EHR, or patient registry datasets.

• Advanced skills in producing high-quality, reproducible results using R, Python, or SQL.

• Strong background in observational study design, advanced statistical techniques, and quantitative data validation.

• Capability to work independently with limited supervision while managing several simultaneous deliverables.

• Outstanding written and verbal communication abilities, including the skill to convey technical methods and intricate findings to non-technical audiences.

• Preferred: experience collaborating with cross-functional stakeholders, scalable analytics, cloud technology, containers, workflow orchestration, CI/CD, QA automation, responsible ML/AI, economic modeling in Excel/VBA or R, publication or external communication, and participation in internal communities of practice.

🏝️ Benefits

• A discretionary annual bonus may be available based on individual and company performance.

• Benefits are outlined in the linked benefits information.

• Full-time remote eligibility for the position.

• Relocation benefits are not provided for this posting.