Senior Product Scientist

atDatavantRemoteUS flagUnited StatesFull-timeUncategorizedSenior$140k – $175k/year

Posted Oct 19

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as an integral member of various product pods focused on the creation and implementation of scientific agents within the real-world evidence study workflow.

• Collaborate with the Director of Product Science to maintain the scientific integrity and rigor of real-world evidence and data discovery agents.

• Participate in the conceptualization of scientific agents, including defining problem statements, task boundaries, workflow designs, subject matter expert reviews, decision points, reference sets, context, evaluation design, and internal testing.

• Provide support for agents that require expertise in pharmacoepidemiology and real-world evidence, encompassing complete RWE study agents.

• Contribute to the governance of scientific submissions, product, and roadmap, including evaluation sets and metrics for agent performance.

• Act as a subject matter expert on scientific workflows pertinent to agents and agent systems.

• Lead studies for the scientific delivery of collaborative builds, developments, and designs with pharmaceutical companies and data ecosystem clients.

• Integrate scientific standards and subject matter expertise into contractual scientific projects, including client-specific agentic RWE workflows, customer SOPs, RWE agents, and agent evaluations.


⛳️ Requirements

• A Master’s or doctoral degree in epidemiology, pharmacoepidemiology, public health, biostatistics, or a related analytical field.

• Candidates holding a master’s degree should possess a minimum of 2 years of professional research experience for consideration as a Senior Scientist, or 4 years for Associate Director consideration.

• Proven experience utilizing healthcare data for conducting pharmacoepidemiology, HEOR, or real-world evidence (RWE) research.

• Familiarity with feasibility assessments, observational study designs, data analysis, and the principled application of research methods to generate RWE.

• Capability to design studies, draft protocols, document methodological choices, and collaborate with research and analytics teams to execute studies.

• Excellent scientific writing and communication skills, including the preparation of protocols, results presentations, reports, interpreting findings, and explaining the strengths and limitations of studies.

• Strong critical thinking, organizational skills, attention to detail, and a commitment to scientific excellence.

• Experience utilizing AI tools (agents or LLMs) for scientific outputs and familiarity with basic AI terminology.

• Experience with various types of healthcare data applicable to pharmacoepidemiology or HEOR.

• Proficiency in R/Python coding, experience with an evidence generation platform like Substantiate, or other pertinent analytical tools.

• This position does not qualify for employment sponsorship.


🏝️ Benefits

• Comprehensive rewards strategy.

• Health screenings and vaccinations post-offer as mandated by clients.

• Reasonable accommodations available for individuals with disabilities.

• Protections under Equal Employment Opportunity laws.

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