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. Key Responsibilities 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 Ideal Profile Strong candidates may have: 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 Why This Opportunity Apply epidemiological expertise to sophisticated pharmaceutical evaluation work Build and review patient-population estimates across multiple diseases and indications Work with real-world data and clinically relevant patient funnels Help establish rigorous standards for evaluating epidemiological assumptions Participate in a focused paid pilot with potential for recurring work Contribute specialist scientific judgment to advanced AI evaluation Contract Details Independent contractor role Fully remote within the United States Part-time pilot engagement Approximately 10–20 total hours over an initial 1–2 week period Competitive rates between $145–$170 per hour depending on expertise and project scope At least 5 years of professional epidemiology experience is required Strong contributors may be considered for recurring or expanded engagements Work may include patient-population sizing, epidemiological analysis, real-world data review, rubric development, and expert critique Weekly payments via Stripe or Wise Projects may be extended, shortened, or adjusted depending on scope and performance Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. 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