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, such as insurance claims, electronic medical records, and patient registries.

• Develop research protocols and statistical analysis strategies.

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

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

• Integrate automation, process improvements, and responsible machine learning/artificial intelligence practices.

• Act as a technical expert in both internal and external strategic projects.

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

• Conduct technical code evaluations and quality assurance for peer reviews.

• Guide and mentor junior colleagues.

⛳️ Requirements

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

• Relevant fields of study 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 analytics using claims, electronic health records, or patient registry data.

• High-level proficiency in producing high-quality, reproducible outputs utilizing R, Python, or SQL.

• Strong understanding of observational study design, advanced statistical techniques, and quantitative data validation.

• Capability to work independently with little oversight and manage multiple simultaneous tasks.

• Excellent written and verbal communication skills, with the ability to convey technical methods and complex results to non-technical audiences.

• Preferred: experience collaborating with cross-functional teams, scalable analytics, cloud computing, containers, workflow orchestration, CI/CD, QA automation, responsible machine learning/artificial intelligence, 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 detailed in the linked benefits information.

• Full-time remote-eligible position.

• Relocation benefits are not approved for this posting.