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 Real World Evidence (RWE) group within the Pharma R&D team at Tempus works with pharmaceutical 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 solutions-oriented RWE Data Scientist with experience and interest in oncology and clinical/epidemiological study design and execution to join our team. Top candidates will have experience working with clinical and research data pipelines, and/or performing biostatistical, epidemiological, or real-world data analytics on observational healthcare data.
Responsibilities: Lead independent analysis of Tempus data for RWE studies with large Pharma partners Perform extensive coding and derive real-world endpoints, exhibiting deep comprehension of Tempus molecular and clinical data Interpret results of RWE analyses to draw appropriate inferences based on study design/statistical methods, while also evaluating study limitations. Communicate research findings effectively to the external Pharma partner’s RWE and clinical teams, providing strategic recommendations. Collaborate with internal product, engineering, oncology, bioinformatics, and clinical abstraction teams to continually enhance Tempus data quality, products and analytical best practices. Stay updated on methodological advancements in real-world studies, oncology guidelines (NCCN and ongoing clinical trials) and their alignment to the evolving oncology landscape within Tempus’ database. Ensure compliance with all relevant regulations and company procedures. Qualifications: Master’s degree in epidemiology, biostatistics, data science, public health, or related fields 1+ years of work experience with observational real-world healthcare data, including analytical experience with time-to-event methodologies Proficient in using R and SQL, especially statistical tools and packages Demonstrated experience interfacing with clients, showcasing adeptness in presenting and tailoring messaging to a variety of stakeholders Excellent project management skills, with proven ability to collaborate with teams of multi-disciplinary scientists to define and execute analysis plans Proficient in navigating large, complex problems within a fast-paced environment Excellent written and oral communication skills Excellent presentation and interpersonal skills Nice to have: Prior involvement in oncology Phase II-IV clinical trials or proven expertise in analyzing RWD studies, including utilization of claims, EHR, or registry data Experience deriving oncology-specific clinical insights using genomic data and deriving real-world endpoints using time-to-event methodologies within a retrospective database Experience with AWS and/or Bigquery and/or Google Cloud Platform (GCP) Experience producing code in a collaborative environment, using Git, GitHub, and code reviews A collaborative mindset, coupled with a genuine eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors Thrive in a fast-paced environment and demonstrate ability to communicate technical concepts to non-technical stakeholders#LI-GL1
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.
Additionally, for 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.