[Hiring] Senior Product Scientist @Datavant

Role Description

The Senior Product Scientist serves as a contributing member of multiple product pods building and deploying scientific agents across the real-world evidence (RWE) study workflow. The Senior Product Scientist partners with the Director of Product Science to ensure the scientific credibility and rigor of Datavant Life Sciences’ real-world evidence and data discovery agents. The Senior Product Scientist works as a contributing member of and responsible party within the product pods to ensure agent conceptualization, development, and evaluation meet the needs of Datavant’s scientific customers and the scientific standards of the Datavant science team.

• Scientific agent conceptualization (e.g. why is the agent needed? and for whom?)
• Scientific problem statement
• Agent task and bounds
• Scientific workflow design & subject matter expert (SME) review/decision points
• Scientific reference set and agent context
• Scientific evaluation design and application
• Scientific internal testing requirements and execution

The scope of this role includes agents built to complete scientific tasks requiring domain knowledge and expertise in pharmacoepidemiology and RWE as well as agent systems such as end-to-end RWE study agents. As a SME working within the product pods and zones, the product scientist contributes to the scientific submissions product/roadmap governance, including eval sets, agent performance metrics, etc. The role also serves as a SME on the scientific workflows relevant to the agent/agent system.

The Product Scientist serves as the study lead for the scientific delivery of agent co-build/co-development/co-design partnerships with Datavant’s pharma and data ecosystem customers. In this role, the Product Scientist is responsible for embedding scientific standards and SME into the build and delivery of the contracted scientific work, which may include:

• Design of customer-specific agentic RWE workflows
• Application of those workflows to customer SOPs
• Design and development of customer-specific agents for RWE tasks across the workflow
• Evaluation of those agents

Qualifications

• 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 the 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 the ability to prepare protocols, results presentations, and reports; interpret findings; and explain 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.

Requirements

• 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.

Benefits

• Competitive salary range: $140,000 — $175,000 USD.
• Commitment to a diverse team and a high-performance culture.
• Equal Employment Opportunity employer.