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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Health Economics and Outcomes Research (HEOR) and Real-World Evidence (RWE) methodologies, with strong analytical skills in data manipulation and interpretation of complex healthcare datasets. Proficient in utilizing R and SQL for large-scale data analysis while effectively communicating findings to interdisciplinary teams and stakeholders.
Highest-signal resume keywords
Health Economics And Outcomes Research (HEOR)Real-World Evidence (RWE)Data Manipulation And AnalysisR And SQL ProficiencyEpidemiology And Biostatistics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceBioinformaticsBiostatisticsEpidemiologyPublic HealthObservational Data AnalysisTime-To-Event AnalysisSurvival MethodologiesPropensity Score MatchingModel Building And Validation
Soft Skills
Interdisciplinary CollaborationEffective CommunicationProblem-Solving
Tools & Technologies
Large-Scale Healthcare DatasetsElectronic Health RecordsClinico-Genomic DatabasesVersion ControlSoftware Testing
Industry Keywords
Healthcare Resource UtilizationCausal InferenceOncologyCancer GeneticsImmunologyRegulatory Submissions
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Lead and execute HEOR and real-world evidence projects, including outcomes analysis, treatment patterns, and healthcare resource utilization
- Represent Outcomes Research and collaborate with internal and external stakeholders on study design, analysis, interpretation, and publication
- Select and adapt epidemiologic and health economic methodologies for complex problems
- Partner with scientists, engineers, and product developers to translate research into clinically actionable insights
- Stay current with advances in causal inference and pharmacoepidemiologic methods
- Build reusable analytical infrastructure, code, templates, and workflows
- Comply with regulations, Tempus data governance, and company procedures for real-world data use and reporting
Requirements
What you’ll need- Advanced degree: Master’s with 5+ years experience, PhD with 3+ years experience, or Bachelor’s with 8+ years experience in data science, bioinformatics, biostatistics, epidemiology, public health, or a related quantitative field
- Computational skills using R and SQL applied to large-scale healthcare datasets
- Strong data manipulation and analytical skills for observational/real-world data
- Familiarity with HEOR and RWE methodologies, including propensity score matching, weighting, and inverse probability of treatment weighting
- Experience analyzing administrative claims, electronic health records, and/or clinico-genomic databases
- Experience with time-to-event analysis and survival methodologies
- Ability to assess and communicate study limitations and draw appropriate inferences
- Preferred experience with oncology and cancer genetics, immunology, or molecular biology outcomes
- Nice to have version control, software testing, or validation experience
- Nice to have experience with oncology Phase II–IV clinical trials or RWD studies
- Nice to have experience contributing to FDA or other health authority regulatory submissions
- Nice to have model building and validation experience, including feature engineering and performance assessment
- Nice to have client-facing or consulting experience
- Ability to work effectively with interdisciplinary teams and communicate complex methodologies to non-technical stakeholders
Benefits
Comp & perks- Incentive compensation may be offered
- Restricted stock units may be offered
- Medical and other benefits depending on the position
- Equal opportunity employment