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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading HEOR and RWE projects, utilizing advanced analytical skills in R and SQL to analyze large healthcare datasets. Proficient in translating complex research into actionable insights while ensuring compliance with regulatory standards.
Highest-signal resume keywords
HEOR MethodologiesReal-World Evidence AnalysisData Manipulation Using R and SQLOncology Clinical Trials ExperienceRegulatory Submissions Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
EpidemiologyBiostatisticsData ScienceSurvival MethodologiesTime-To-Event AnalysisFeature EngineeringPerformance AssessmentStatistical AnalysisComputational SkillsAnalytical Skills
Soft Skills
Client-Facing ExperienceCommunication SkillsCollaboration Skills
Tools & Technologies
RSQLGitElectronic Health Records (EHR)Clinico-Genomic Databases
Industry Keywords
Healthcare Resource UtilizationOutcomes AnalysisCausal InferenceData GovernanceMolecular Biology
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Lead and execute HEOR and real-world evidence (RWE) projects, including outcomes analysis, treatment patterns, and healthcare resource utilization
- Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation, and publication of real-world studies
- Work on complex problems, selecting and adapting appropriate epidemiologic and health economic methodologies
- Partner with interdisciplinary scientists, engineers, and product developers to translate research into clinically actionable insights for clients
- Stay current with methodological advances in RWE, including causal inference and pharmacoepidemiologic methods
- Build analytical infrastructure, including reusable code, templates, and workflows
- Comply with applicable regulations, Tempus data governance, and company procedures related to real-world data use and reporting
Requirements
What you’ll need- Advanced degree (Master’s with 2+ years experience or equivalent) in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related quantitative field
- Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare datasets
- Strong data manipulation and analytical skills tailored to observational/real-world data
- Deep familiarity with HEOR and RWE methodologies, including approaches to address confounding
- Experience analyzing large, complex real-world datasets, including administrative claims, electronic health records (EHR), and/or clinico-genomic databases
- Experience with time-to-event analysis and survival methodologies
- Experience working in oncology and/or analyzing outcomes related to cancer genetics, immunology, or molecular biology
- Ability to draw appropriate inferences based on study design and explicitly assess and communicate study limitations
- Experience with version control (e.g., Git) and software testing or validation processes
- Experience working in oncology Phase II-IV clinical trials and/or with RWD and/or HEOR studies
- Hands-on experience contributing to regulatory submissions to the FDA or other health authorities
- Experience supporting data science teams in model building and validation, including feature engineering and performance assessment
- Client-facing or consulting experience and comfort presenting results and recommendations to external stakeholders
Benefits
Comp & perks- Incentive compensation
- Restricted stock units
- Medical and other benefits depending on the position
- Equal opportunity employment