Senior Epidemiologist

Join to apply for the Senior Epidemiologist role at Tempus AI Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real‑world evidence to deliver real‑time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Outcomes Research team at Tempus partners with external life science partners to provide best‑in‑class data, analysis, and methodological guidance to Tempus’s real‑world data offering. We are seeking a highly motivated and capable epidemiologist with extensive experience and interest in the design and analysis of pharmacoepidemiological studies to join our team. Responsibilities Contribute to the design and execution of RWE studies by developing protocols, crafting statistical analysis plans, and creating analysis deliverables such as table shells, leveraging Tempus’s data to support external Pharma Medical Affairs, HEOR, and RWE team objectives. Lead independent analysis of Tempus data for Pharma RWE studies, involving extensive coding, comprehension of Tempus molecular and clinical data, acquisition of oncology‑specific clinical insights, derivation of real‑world endpoints using time‑to‑event methodology, and staying abreast of current NCCN guidelines and the evolving oncology landscape within a retrospective database. Present insights from RWE studies to external Pharma epidemiologists and medical liaisons through formal presentations, providing strategic recommendations. Collaborate with internal product, engineering, oncology, bioinformatics, and clinical abstraction teams to continually enhance Tempus data quality and feature builds for retrospective analysis. Stay updated on methodological advancements in real‑world studies, oncology guidelines, and ongoing clinical trials. Ensure compliance with all relevant regulations and company procedures. Required Experience Masters or PhD Degree in epidemiology, biostatistics, health economics or a related discipline and 5+ years of post‑grad experience. Experience in conducting observational retrospective analyses in oncology including a published track record. Computational skills using R and SQL, especially relevant statistical tools and packages. Ideal Candidates Will Possess Prior involvement in oncology Phase II‑IV clinical trials or proven expertise in analyzing RWD studies, including utilization of claims, EHR, or registry data. Demonstrated experience interfacing with clients or in a consulting capacity, showcasing adeptness in presenting results to stakeholders. Proficiency in navigating large, complex problems within a fast‑paced environment. Meticulous attention to detail coupled with a commitment to delivering analytics of the highest quality and punctuality. A collaborative mindset, coupled with a genuine eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors. Direct involvement in assisting with the preparation of regulatory submissions to the FDA or EMA. Proficiency in machine learning techniques, with a nuanced understanding of the strengths and limitations of various approaches, particularly regarding predictive and prognostic algorithms in medical research. Familiarity with cancer genetics, immunology, or molecular biology. Salary: CHI: $100,000 - $160,000 USD or NYC/SF: $115,000 - $175,000 USD (California). The range may vary for other locations. Tempus offers a full range of benefits, including incentive compensation, restricted stock units, medical and other benefits depending on the position. Remote roles open to individuals in unincorporated Los Angeles— including remote roles. Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr