
201 - 500 employees
Founded 2017
🏥 Healthcare
💼 Consulting
⚕️ Healthcare Insurance
💰 $40M Series B on 2020-10
Healthcare • Consulting • Healthcare Insurance
Datavant is a company that provides a platform and network focused on making health data secure, accessible, and usable across the healthcare ecosystem. With a focus on data connectivity and interoperability, Datavant facilitates the movement of healthcare records across a vast network of organizations, including hospitals, clinics, health systems, and data partners. Their suite of products and solutions covers areas such as health data exchange, data transformation, and privacy compliance, serving various clients including health plans, healthcare providers, life sciences, and government organizations. Datavant's mission is to advance human health through improved data exchange and analytics.
🔥 15 hours ago
🇺🇸 United States – Remote
💵 $140k - $175k / year
⏰ Full Time
🟠 Senior
🦅 H1B Visa Sponsor
👻 Ghost score 4%
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201 - 500 employees
Founded 2017
🏥 Healthcare
💼 Consulting
⚕️ Healthcare Insurance
💰 $40M Series B on 2020-10
Healthcare • Consulting • Healthcare Insurance
Datavant is a company that provides a platform and network focused on making health data secure, accessible, and usable across the healthcare ecosystem. With a focus on data connectivity and interoperability, Datavant facilitates the movement of healthcare records across a vast network of organizations, including hospitals, clinics, health systems, and data partners. Their suite of products and solutions covers areas such as health data exchange, data transformation, and privacy compliance, serving various clients including health plans, healthcare providers, life sciences, and government organizations. Datavant's mission is to advance human health through improved data exchange and analytics.
• 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
• 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
• Total rewards strategy • Post-offer health screenings and vaccinations as required by clients • Reasonable accommodations for individuals with disabilities • Equal Employment Opportunity protections
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