Epidemiologist - Patient Population Sizing

We are seeking an experienced Epidemiologist to support an expert evaluation project focused on commercial drugs and pharmaceutical development programs.

In this role, you will apply your epidemiological expertise to assess how accurately patient populations are defined and estimated for specific drugs and clinical indications. You will develop and critique evaluation criteria, assess patient-population estimates, and provide rigorous feedback on whether the underlying assumptions, methodology, and data sources reflect sound epidemiological practice.

This opportunity is particularly suited to professionals with hands-on experience working with real-world healthcare data and patient-funnel analysis within pharmaceutical, biotechnology, healthcare, or research environments.

• 5+ years of professional experience in epidemiology or a closely related discipline.
• Graduate degree in Epidemiology, Biostatistics, Public Health, or a related quantitative health-science field.
• US-based professional experience.
• Familiarity with biotechnology and pharmaceutical development programs.
• Hands-on experience using real-world healthcare data, including:
• Claims data
• Electronic health records (EHR)
• Patient registries
• Epidemiological databases
• Other population-level healthcare datasets
• Demonstrated ability to translate real-world data into patient funnels and population estimates.
• Strong understanding of prevalence, incidence, diagnosis rates, treatment patterns, and patient eligibility.
• Excellent analytical and written communication skills.
• Ability to clearly explain methodological assumptions, data limitations, and the reasoning behind population estimates.

• → Develop and critique structured evaluation rubrics for analyzing commercial drugs and drug-development programs.
• → Estimate and assess patient populations associated with specific drugs and clinical indications.
• → Analyze patient funnels across stages such as:
• → Disease prevalence and incidence
• → Diagnosed populations
• → Treated populations
• → Eligible populations
• → Addressable patient populations
• →
• → Evaluate whether patient-population estimates are methodologically sound, appropriately sourced, and supported by credible evidence.
• → Identify potential over-counting, under-counting, selection bias, or inappropriate assumptions within population estimates.
• → Review methodologies used to translate epidemiological data into commercially relevant patient populations.
• → Apply consistent epidemiological judgment across a range of drugs and therapeutic indications.
• → Provide clear, evidence-based written feedback explaining the rationale behind conclusions and evaluations.

• Role: Epidemiologist — Patient Population Sizing
• Work Arrangement: Fully Remote
• Location: United States
• Engagement Type: Independent Contractor
• Pilot Duration: Approximately 10–20 hours over a 1–2 week period
• Projects may be extended based on project requirements and contributor performance.
• Strong contributors may have opportunities to participate in future engagements.

• Apply your epidemiological expertise to emerging AI evaluation and research.
• Help improve how AI systems analyze pharmaceutical development programs and patient populations.
• Contribute to building more accurate and rigorous expert evaluation frameworks.
• Potential for recurring opportunities as the program expands.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

• You will be engaged as an independent contractor.
• The engagement is fully remote and can be completed according to the agreed project schedule.
• Projects may be extended, shortened, or concluded early depending on project needs and performance.
• Payments are made weekly based on services rendered through available payment platforms.
• The engagement will not involve access to confidential or proprietary information belonging to any employer, client, or institution.
• H-1B and STEM OPT candidates are not currently supported.