Population Health Insights Lead/Epidemiologist

Dawar Consulting•South San Francisco, CA

26d

About The Position

Global Access organization is seeking a highly skilled Population Health Insights Lead to deliver evidence -based epidemiological expertise across the product lifecycle. In this role, you will generate, validate, and maintain epidemiological forecasts that support strategic planning, global access initiatives, and business development activities. You will collaborate with internal and external stakeholders to ensure accuracy, alignment, and consistency of epidemiology assumptions for therapeutic portfolio. This position plays a critical role in shaping patient access strategies, informing long -term planning, and supporting the evolution of client’s digital and analytical capabilities.

Requirements

Bachelor’s degree (BA/BS) in Epidemiology, Public Health, Biostatistics, Statistics, Biology, Population Health, Pharmacology, Biomedical Sciences, or related scientific discipline.
4+ years of hands -on experience in epidemiology, population health, health outcomes research, real -world evidence, or related analytical fields.
Experience may come from pharma, biotech, CROs, public health agencies, research institutions, or academia.
Experience with epidemiological study design, data interpretation, and the application of epidemiology in healthcare decision -making.
Strong proficiency in R (preferred) or SAS, statistical analysis, and epidemiological modeling.
Advanced Excel skills.
Knowledge of epidemiological principles, population health methodologies, and disease surveillance systems.

Nice To Haves

Master’s degree is a plus.
Experience with real -world data (RWD) and health technology assessment (HTA) frameworks is a strong advantage.

Responsibilities

Develop, update, and validate epidemiological patient forecasts for assigned diseases/therapeutic areas across clinical development phases.
Conduct population -level and subgroup modeling to support access, commercial, and strategic decisions.
Generate reproducible forecasts using advanced statistical programming (R preferred).
Identify, evaluate, and extract high -quality epidemiological data from publications, health statistics, surveillance databases, disease registries, and real -world data sources.
Conduct literature reviews and contribute to evidence synthesis efforts, including meta -analyses.
Develop, optimize, and maintain R code for epidemiology forecasting using newly implemented digital platforms.
Contribute to process digitalization and new ways of working across Population Health Insights and Global Access.
Prepare and present epidemiology analyses internally and externally at scientific meetings or publications.
Develop knowledge management tools and best practices for storing and sharing epidemiology insights.