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Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in pharmacoepidemiology and real-world evidence study design, with strong capabilities in scientific writing, data analysis, and the application of research methods. Proficient in leveraging AI tools for scientific workflows and collaborating with cross-functional teams to deliver high-quality research outcomes.
Highest-signal resume keywords
Pharmacoepidemiology ExpertiseReal-World Evidence ResearchStudy Design and Protocol DevelopmentScientific Writing and CommunicationR/Python Coding Proficiency
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Serve as a contributing member of multiple product pods building and deploying scientific agents across the real-world evidence study workflow
- Partner with the Director of Product Science to ensure scientific credibility and rigor of real-world evidence and data discovery agents
- Contribute to scientific agent conceptualization, problem statements, task bounds, workflow design, SME review and decision points, reference sets, context, evaluation design, and internal testing
- Support agents requiring pharmacoepidemiology and real-world evidence domain expertise, including end-to-end RWE study agents
- Contribute to scientific submissions product and roadmap governance, including evaluation sets and agent performance metrics
- Serve as a subject matter expert on scientific workflows relevant to agents and agent systems
- Serve as study lead for scientific delivery of agent co-build, co-development, and co-design partnerships with pharma and data ecosystem customers
- Embed scientific standards and subject matter expertise into contracted scientific work, including customer-specific agentic RWE workflows, customer SOPs, RWE agents, and agent evaluation
Requirements
What you’ll need- Master’s or doctoral degree in epidemiology, pharmacoepidemiology, public health, biostatistics, or a related analytic field
- Candidates with a master’s degree should have at least 2 years of professional research experience for Senior Scientist consideration or 4 years for Associate Director consideration
- Experience using healthcare data to conduct pharmacoepidemiology, HEOR, or real-world evidence (RWE) research
- Knowledge of feasibility assessment, observational study design, data analysis, and principled application of research methods to generate RWE
- Ability to design studies, draft protocols, document methodological decisions, and work with research and analytics colleagues to implement studies
- Strong scientific writing and communication skills, including preparing protocols, results presentations, and reports; interpreting findings; and explaining study strengths and limitations
- Strong critical thinking, organization, attention to detail, and commitment to scientific quality
- Experience leveraging AI tools (agents or LLMs) for scientific work products and fluency in basic AI terminology
- Experience with multiple types of healthcare data used in pharmacoepidemiology or HEOR
- Proficiency with R/Python coding, an evidence generation platform such as Substantiate, or other relevant analytic tools
- This job is not eligible for employment sponsorship
Benefits
Comp & perks- Total rewards strategy
- Post-offer health screenings and vaccinations as required by clients
- Reasonable accommodations for individuals with disabilities
- Equal Employment Opportunity protections
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PharmacoepidemiologyReal-World Evidence (RWE)Study DesignData AnalysisResearch MethodsHealthcare Data AnalysisAI Tools UtilizationEvidence GenerationProtocol DraftingCritical Thinking
Soft Skills
Attention to DetailOrganizationScientific Quality Commitment
Tools & Technologies
RPythonSubstantiateAnalytic Tools
Certifications & Qualifications
Master’s DegreeDoctoral Degree
Industry Keywords
Healthcare DataObservational Study DesignHEORScientific StandardsCustomer-Specific Workflows