Senior Research Epidemiologist - Pregnancy PASS

Seattle, WA

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower clinicians to be experts, and help families make informed care decisions. Achieving Truveta’s ambitious vision requires a team with health, software, and big data experience who share our company values.

Truveta was born in the Pacific Northwest, but we have employees across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In-person attendance is required at least once per year for an onsite meeting.

For overall team productivity, we optimize meeting hours in the Pacific Time Zone. We avoid scheduling recurring meetings that start after 3pm PT; ad hoc meetings occur between 8am-6pm Pacific time.

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Who We Need

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. We are seeking problem solvers, collaborative teammates, and those who are willing to roll up their sleeves while making a difference. If you are interested in purposeful work on a mission-driven team and a rewarding career, Truveta may be the perfect fit for you.

We are seeking an experienced Senior Research Epidemiologist to lead and execute high-quality, client-driven epidemiological and health services research. This role is responsible for the end-to-end delivery of real-world evidence studies supporting life sciences, healthcare, and regulatory decision-making.

The ideal candidate brings strong pharmacoepidemiology and regulatory-facing research experience, with demonstrated involvement in post-authorization safety studies (PASS) and other post-marketing evidence generation. Experience conducting or supporting studies in special populations, particularly pregnancy or perinatal populations, is highly valued. This is a highly collaborative, client-facing role that combines methodological leadership, project execution, and scientific communication.

• Research Leadership & Execution:
  Lead and execute end-to-end epidemiological and real-world evidence studies, ensuring scientific rigor, transparency, and regulatory relevance.
• Design and oversee study protocols, statistical analysis plans (SAPs), study reports, and manuscripts, including PASS.
• Support or lead studies focused on drug safety in special populations, including pregnant people and neonatal outcomes, where applicable.
• Ensure research outputs are suitable for regulatory submissions, responses, and post-marketing commitments.
• Uphold best practices in study conduct, reporting, and Good Pharmacoepidemiology Practices (GPP).

• Apply advanced epidemiologic methods across study types including PASS, drug safety monitoring, pharmacovigilance, comparative effectiveness research, HEOR, and disease surveillance.
• Collaborate with analytics and data science teams to review results, assess robustness, and interpret findings.
• Leverage or interpret outputs from surveillance and signal detection tools, including Tree Scan, where applicable.
• Stay current with evolving regulatory guidance, observational research methods, and pregnancy safety evaluation expectations.

• Serve as a primary research point of contact for customers, including life sciences partners and regulatory-focused stakeholders.
• Manage project timelines, resources, deliverables, and risks across multiple concurrent studies.
• Clearly communicate study design, methodology, and findings to internal teams, clients, and external stakeholders.
• Build and maintain trusted relationships with customers seeking regulatory-grade real-world evidence, including drug safety and pregnancy-focused research.

Required Qualifications

• Master’s or PhD in Epidemiology, Public Health, Biostatistics, Health Policy, or related field.
• 5+ years of experience in epidemiological, pharmacoepidemiology, or health services research, including leadership or project management responsibilities.
• Demonstrated experience designing and executing observational studies using real-world data.
• Stron…