Senior HEOR Scientist

Roche

. Lead end-to-end design, execution, interpretation, and dissemination of retrospective observational studies .

Posted 10/30/2026full-timeRemote • California • United StatesSenior💰 $156,200 - $290,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and executing observational studies, analyzing complex healthcare datasets, and applying advanced statistical methods. Proficient in programming with R, Python, and SQL, while effectively communicating technical findings to diverse stakeholders.

Highest-signal resume keywords

Observational Study DesignAdvanced Statistical MethodsR ProgrammingPython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Causal InferencePropensity Score MatchingRegression ModelingData AnalysisQuantitative Data ValidationEconomic ModelingReproducible DeliverablesHealthcare Dataset AnalysisWorkflow AutomationQuality Assurance

Soft Skills

Exceptional Communication SkillsMentoringAutonomous WorkStakeholder EngagementTranslating Technical Methodologies

Tools & Technologies

Electronic Medical RecordsInsurance ClaimsPatient RegistriesCloud TechnologiesContainersCI/CDQA AutomationExcelVBAWeb-Based Applications

Industry Keywords

Applied AnalyticsHealth Services ResearchPublic PolicyBiostatisticsData ScienceEpidemiologyHealthcare AnalyticsRetrospective Observational StudiesReal-World EvidenceQuantitative Discipline

Tech Stack

Tools & technologies

CloudPythonSQLVBA

About the role

Key responsibilities & impact

Lead end-to-end design, execution, interpretation, and dissemination of retrospective observational studies
Analyze complex healthcare datasets, including insurance claims, electronic medical records, and patient registries
Formulate research protocols and statistical analysis plans
Apply causal inference, propensity score matching, and regression modeling
Design, program, and maintain codebases, reusable libraries, and web-based applications using R, Python, SQL, and other tools
Incorporate automation, workflow enhancements, and responsible ML/AI methodologies
Serve as a technical subject-matter expert in internal and external strategic initiatives
Align data-driven evidence with business and policy objectives
Provide technical code reviews and quality assurance for peer analyses
Mentor less-experienced colleagues

Requirements

What you’ll need

Bachelor’s degree with 5+ years of relevant applied analytics/economic modeling experience, or a Master’s degree or PhD with 3+ years of relevant experience in a quantitative or health-related discipline
Relevant disciplines include economics, epidemiology, biostatistics, data science, computer science, health services research, public policy, applied math/statistics, analytics, or related fields
Demonstrated experience designing and conducting observational research and RWE analytics using claims, EHR, or patient registry datasets
Advanced proficiency developing high-quality, reproducible deliverables using R, Python, or SQL
Strong foundation in observational study design, advanced statistical methods, and quantitative data validation
Ability to work autonomously with minimal supervision and manage multiple concurrent deliverables
Exceptional written and verbal communication skills, including translating technical methodologies and complex findings to non-technical stakeholders
Preferred: experience with cross-functional stakeholders, scalable analytics, cloud, containers, workflow orchestration, CI/CD, QA automation, responsible ML/AI, economic modeling in Excel/VBA or R, publication or external communication, and internal communities of practice

Benefits

Comp & perks

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