Job description

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For 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. Specifically, the Senior Product Scientist works within product pods (e.g. algorithm builder, explore assistant) and with the Director of Product Science to deliver on the following in a responsible and/or supporting role: 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 the 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, and evaluation of those agents. What You Need to Succeed 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 What Helps You Stand Out 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. #LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $140,000 — $175,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here . Know Your Rights , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy .

Requirements

Must-haves

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
What You Need to Succeed
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
What Helps You Stand Out
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.
For more information about how we collect and use your data, please review our Privacy Policy .

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

Platform: greenhouse
Effort: quick