> Markdown version of [/jobs/ext/4270013-director-epidemiology-methodological-innovation-organization](https://www.wearedevelopers.com/jobs/ext/4270013-director-epidemiology-methodological-innovation-organization). 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). --- # Director, Epidemiology & Methodological Innovation Organization - **Company:** Tempus Inc - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Experienced - **Salary:** $170,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Clinical Data Repository, Cyber Security, Databases, Data Files, Data Security, Database Analysis, R (Programming Language), Machine Learning, SAS (Software), Electronic Medical Records, GXP - **Published:** October 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/director-epidemiology-methodological-innovation-chicago-il--b94ec57c-d4b2-4745-8089-3f743f9f7d46 ## About the Role * Education: PhD (preferred) or PharmD in Epidemiology, Biostatistics, Health Economics, or a related quantitative field. * Experience: 7+ years in HEOR/RWE, with at least 3 years in a leadership capacity. * Deep expertise in oncology is required. * Methodological Mastery: Proven track record of developing or implementing advanced methods (e.g., target trial emulation, propensity score applications in complex cohorts, or machine learning-augmented epidemiology). * Technical Proficiency: Advanced skills in R or SAS. Experience working with "messy" real-world data (EHR, claims, and/or genomic data) is essential. * The "Consultant" Mindset: Exceptional ability to walk into a room of biopharma executives and simplify complex methodological hurdles into a clear strategic roadmap. * Leadership: Demonstrated experience mentoring junior scientists and leading cross-functional squads in a fast-paced, high-growth environment., Alliance/Partner Management, Artificial Intelligence (AI), Biomarkers, Biostatistics, Business Development, Clinical Data, Clinical Medicine, Conferences, Consulting, Cross-Functional, Customer Relations, Data Science, Data Sets, Database Analysis, Disease, Drug Development, Ecosystems, Epidemiology, GEP (Good Engineering Practices), Genomics, HIPAA (Health Insurance Portability and Accountability Act), Health Economics, Healthcare, Information/Data Security (InfoSec), Intellectual Property (IP), Leadership, Machine Learning, Medical Record System, Medicine, Mentoring, Patient Care, Project/Program Management, Publications, R Programming Language, Regulations, Research Protocols, Thought Leadership ## Description * Methodological Innovation: Lead the development of novel approaches for RWE, including the use of external control arms (ECA), causal inference in high-dimensional data, and the integration of longitudinal clinical data with molecular/genomic signatures. * Research Design & Implementation: Oversee the end-to-end execution of retrospective database analyses. You will act as the primary architect for study protocols, ensuring they push the boundaries of current HEOR/RWE standards while maintaining scientific rigor. * Scientific Thought Leadership: Serve as a subject matter expert for biopharma clients, advising them on "first-in-kind" study designs. You are expected to contribute to the broader scientific community through high-impact publications and presentations at conferences like ISPOR, ISPE, and ASCO. * Client Strategy & Partnership: Partner with Key Account Directors and Business Development to identify opportunities where novel methodology can solve "unsolvable" client problems (e.g., rare disease characterization or complex biomarker validation). * Cross-Functional Synergy: Bridge the gap between Data Science, Biostatistics, and Product teams to productize successful novel methods, ensuring they are scalable across the Tempus ecosystem. * Project Management & Quality: Ensure all innovative research meets stringent regulatory and ethical standards (e.g., GEP, HIPAA), delivering high-quality results on timelines that match the pace of the biopharma industry.