Director, Product Science

Datavant

. Ensure the scientific credibility and rigor of Datavant Life Sciences’ real-world evidence and data discovery agents .

Posted 10/16/2026full-timeRemote • United StatesLead💰 $164,000 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in real-world evidence (RWE) and scientific workflows, with a strong foundation in observational study design and healthcare data analytics. Proven ability to lead cross-functional teams, manage complex initiatives, and communicate scientific concepts effectively.

Highest-signal resume keywords

Doctorate Or Master’s Degree In EpidemiologyProfessional Research Experience In RWEStrong Command Of Observational Study DesignExperience Managing Cross-Functional TeamsExcellent Scientific Writing And Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

EpidemiologyBiostatisticsObservational Study DesignHealthcare Data AnalysisScientific EvaluationScientific Standards DevelopmentAnalytic MethodsStrategic Problem-SolvingScientific JudgmentPeer-Reviewed Publications

Soft Skills

LeadershipCoachingNegotiationCommunicationCollaboration

Tools & Technologies

RPythonSubstantiateAI ToolsEvidence Generation Platforms

Industry Keywords

Real-World EvidencePharmacoepidemiologyHEORAgent SystemsScientific Workflows

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Ensure the scientific credibility and rigor of Datavant Life Sciences’ real-world evidence and data discovery agents
Lead scientific agent conceptualization, including defining why an agent is needed and for whom
Define scientific problem statements, agent tasks, and bounds
Design scientific workflows, SME review and decision points, reference sets, and agent context
Design and apply scientific evaluations
Define and execute scientific internal testing requirements
Apply domain knowledge and RWE expertise to develop agents and agent systems for scientific tasks
Prepare scientific submissions for product and roadmap governance review, including evaluation sets and agent performance metrics
Serve as the subject matter expert on non-agentic scientific workflows relevant to agent systems
Lead scientific customer delivery for agent co-build, co-development, and co-design partnerships with pharma and data ecosystem customers
Ensure the scientific quality of contracted and delivered work, including customer-specific agentic RWE workflows, SOP applications, agent development, and agent evaluation
Contribute to agentic AI scientific thought leadership through blogs, webinars, and scientific meeting presentations
Support go-to-market teams by translating customer and competitor intelligence and identifying market signals

Requirements

What you’ll need

Doctorate or master’s degree in epidemiology, biostatistics, or a related field
Professional research experience in RWE, pharmacoepidemiology, HEOR, or a closely related field: at least 3 years after a doctorate or 6 years after a master’s degree for Director
Strong command of observational study design, healthcare data, and analytic methods
Ability to drive progress across cross-functional product teams, manage competing priorities, resolve scientific and product delivery challenges, and negotiate scope and timelines
Experience managing or providing matrix leadership to colleagues, including coaching and substantive feedback: at least 1 year for Director
Excellent scientific writing and communication skills
Extensive experience with multiple types of healthcare data used in RWE research and familiarity with analytic tools or evidence generation platforms such as R, Python, and Substantiate
Experience in scientific judgment, strategic problem-solving, and leadership of complex initiatives across scientific, technical, commercial, and operations functions
Experience developing scientific standards, study templates, quality processes, or methodological guidance
Experience representing an organization as a subject matter expert in workshops, webinars, and professional forums
Record of peer-reviewed publications, conference presentations, or other external scientific contributions
Experience leveraging AI tools such as agents or LLMs for scientific work products and fluency in basic AI terminology
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 physical and mental disabilities
Equal employment opportunity protections