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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in real-world evidence analysis, utilizing observational healthcare data and advanced statistical methodologies. Proficient in R, SQL, and machine learning tools, with strong communication and project management skills to effectively collaborate with multidisciplinary teams.
Highest-signal resume keywords
Expert-Level Proficiency With Observational Real-World Healthcare DataProficiency In R And SQLExperience Executing Real-World Data Analytical StudiesStrong Project Management SkillsExperience With Pharma Or Drug Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Survival AnalysisReal-World Evidence AnalysisStatistical Tools And PackagesMachine LearningCode ReviewVersion ControlModular CodeDocumentationData AnalysisClinical Trial Design
Soft Skills
Excellent Written And Verbal Communication SkillsAbility To Work With Multidisciplinary ScientistsTailoring Presentations To Varied Stakeholders
Tools & Technologies
LLM-Based Coding AssistantsAWSBigQueryGoogle Cloud PlatformAgentic Frameworks
Industry Keywords
Oncology GuidelinesClinical TrialsEHR DataClaims DataRegistry DataBiomarker DataGenomic DataHigh-Dimensional Molecular DataNCCN
Tech Stack
Tools & technologiesAWSBigQueryCloudGoogle Cloud PlatformSQL
About the role
Key responsibilities & impact- Lead the design and delivery of real-world evidence analyses for pharmaceutical clients
- Translate drug development questions into actionable research plans using Tempus data
- Derive complex real-world endpoints through extensive coding
- Apply methodological expertise to clinical and molecular real-world data
- Build technical standards, reusable code, and internal analytical packages
- Stay current with causal inference, survival analysis, oncology guidelines, and clinical trials
- Incorporate LLMs, agentic workflows, and other AI tools into code development, discovery, documentation, review, and insight generation
- Interpret RWE results and evaluate study limitations
- Communicate methods and results to technical and non-technical stakeholders
- Prepare and present internal reports, external deliverables, manuscripts, and conference materials
- Collaborate with product, oncology, clinical abstraction, and real-world data science teams
- Identify product gaps and incorporate customer feedback into new product development
- Grow and maintain oncology and RWE domain expertise
Requirements
What you’ll need- Education in epidemiology, biostatistics, data science, public health, or a related field, with either a PhD and 2+ years of additional work experience or a Master’s degree and 4+ years of additional work experience
- Expert-level proficiency with observational real-world healthcare data, including time-to-event methodologies (survival analysis)
- Proven expertise executing real-world data analytical studies
- Proficiency in R and SQL, especially statistical tools and packages
- Proficiency applying machine learning, LLM-based coding assistants (e.g., Claude Code, Copilot, Cursor), and agentic frameworks to data analysis, code review, or scientific documentation workflows
- Good software engineering practices, including version control, modular code, and documentation
- Experience with code review
- Experience interfacing with clients and tailoring presentations to varied stakeholders
- Excellent written and verbal communication skills
- Strong project management skills
- Ability to work with multidisciplinary scientists on complex problems
- Preferred: experience with Pharma or drug development
- Preferred: experience in Phase II–III clinical trial design
- Preferred: proficiency with claims, EHR, or registry data
- Preferred: experience building, fine-tuning, or configuring LLM-based scientific discovery tools and agentic workflows
- Preferred: knowledge of oncology guidelines such as NCCN
- Preferred: experience analyzing biomarker, genomic, or other high-dimensional molecular data alongside clinical datasets
- Preferred: experience with AWS, BigQuery, or Google Cloud Platform (GCP)
Benefits
Comp & perks- Incentive compensation may be offered
- Restricted stock units may be offered
- Medical and other benefits depending on the position