> Markdown version of [/jobs/ext/3069852-remote](https://www.wearedevelopers.com/jobs/ext/3069852-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote - **Company:** MAG 24 LLC - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $301,600.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Databases, Electronic Medical Records - **Published:** September 25, 2026 - **Apply:** https://www.careerjet.com/jobad/us02a72c1b8c1e0a0da59fb133ce746e09 ## About the Role * At least 5 years of professional epidemiology experience * Graduate-level training in epidemiology, biostatistics, public health, or a related discipline * Experience sizing patient populations for diseases, indications, or pharmaceutical programmes * Hands-on experience converting claims, EHR, registry, or other real-world data into patient funnels * Strong understanding of prevalence, incidence, diagnosis rates, treatment rates, and addressable populations * Familiarity with biotech or pharmaceutical development programmes * Strong quantitative and methodological judgment * Excellent written communication and attention to detail * Current residence in the United States Educational Background * A graduate degree in epidemiology, biostatistics, public health, or a closely related field is highly relevant * Advanced quantitative or healthcare research training may strengthen an application * Substantial professional epidemiology experience is particularly important for this engagement Nice to Have * Pharmaceutical or biotechnology epidemiology experience * Background in real-world evidence or outcomes research * Experience working with administrative claims databases * Experience analysing electronic health record data * Familiarity with disease registries * Experience supporting commercial forecasting or market-sizing work * Knowledge of indication-specific treatment pathways * Prior experience with structured expert review, rubric development, or AI evaluation ## Description We are sharing a specialised part-time consulting opportunity for experienced epidemiologists with strong expertise in patient-population sizing, real-world data, disease epidemiology, and pharmaceutical or biotech development programmes. This role supports an expert evaluation initiative focused on commercial medicines and drug-development programmes. Selected professionals will size patient populations across specific diseases and indications, assess the quality of epidemiological assumptions and source evidence, identify over- or under-counting, and help develop rigorous evaluation frameworks for pharmaceutical analysis., Patient Population Sizing * Estimate patient populations for specific diseases, indications, and therapeutic programmes * Develop epidemiological funnels spanning prevalence, incidence, diagnosis, treatment, and addressable populations * Assess how eligibility criteria and treatment pathways affect addressable patient estimates * Identify potential over-counting, under-counting, or double-counting within population models * Apply professional epidemiological judgment across multiple drugs and indications Real-World Data Analysis * Use claims, electronic health records, registries, and other real-world data sources to inform patient estimates * Assess the suitability and limitations of different data sources * Evaluate case definitions, diagnosis criteria, coding strategies, and population-selection logic * Identify data-quality issues that may distort patient counts * Translate real-world evidence into clear and defensible patient funnels Epidemiological Evaluation * Review prevalence and incidence assumptions for scientific and methodological soundness * Assess whether estimates are appropriately sourced and supported * Evaluate extrapolation methods and assumptions across populations * Identify unrealistic epidemiological assumptions or unsupported conclusions * Review the relationship between diagnosed, treated, eligible, and addressable patient populations Rubric Development & Expert Review * Create structured evaluation rubrics for patient-population and drug-programme analysis * Critique existing rubrics for scientific accuracy, completeness, and methodological rigour * Define criteria that reflect experienced epidemiological judgment * Identify missing considerations or weaknesses in analytical frameworks * Provide clear written reasoning supporting evaluation decisions