Senior Product Scientist (RWE)

Location: Remote - United States

Salary: $140,000–$175,000 USD annually

Company

hirify.global provides a healthcare data collaboration platform used by providers, health plans, researchers, and life sciences companies to make health data secure, accessible, and actionable.

What you will do

• Contribute to multiple product pods building and deploying scientific agents across real-world evidence study workflows.
• Define scientific agent concepts, problem statements, task boundaries, reference sets, context, and subject matter expert review points.
• Design scientific workflows, evaluation approaches, internal testing requirements, and agent performance metrics.
• Serve as a subject matter expert in pharmacoepidemiology, real-world evidence, scientific workflows, and product roadmap governance.
• Lead the scientific delivery of customer co-build, co-development, and co-design partnerships with pharmaceutical and data ecosystem customers.
• Design customer-specific agentic RWE workflows, apply them to customer SOPs, develop agents for RWE tasks, and evaluate their performance.

Requirements

• Master’s or doctoral degree in epidemiology, pharmacoepidemiology, public health, biostatistics, or a related analytic field. Candidates with a master’s degree need 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 research.
• Knowledge of feasibility assessment, observational study design, data analysis, and principled research methods for generating real-world evidence.
• 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, including agents or LLMs, for scientific work products and fluency in basic AI terminology.

Nice to have

• Experience with multiple types of healthcare data used in pharmacoepidemiology or HEOR.
• Proficiency with R or Python, an evidence generation platform such as Substantiate, or other relevant analytic tools.

Culture & Benefits

• Collaborative, high-performance environment focused on transforming healthcare through data products and services.
• Commitment to diversity, inclusion, equal employment opportunity, and reasonable workplace accommodations.
• Total rewards and compensation aligned with the role level, responsibilities, skills, and experience.
• Post-offer health screenings and vaccination requirements may apply based on client and state requirements, with case-by-case exemption reviews.

Hiring process

• Post-offer health screenings and proof or completion of required vaccinations may be required for patient and staff safety.
• Employment sponsorship is not available.