Data Scientist II, Real World Evidence

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 and evaluate study limitations.
• Effectively communicate research findings to external Pharma partner’s RWE and clinical teams, providing strategic recommendations.
• Collaborate with internal teams (product, engineering, oncology, bioinformatics, and clinical abstraction) to enhance data quality, products, and analytical best practices.
• Stay updated on methodological advancements in real-world studies and oncology guidelines (NCCN and ongoing clinical trials) to ensure compliance and alignment with Tempus’ database.

Minimum Qualifications:

• Education in epidemiology, biostatistics, data science, public health, or related fields:
  • PhD or Master’s degree with 1+ years of additional work experience.
• Familiarity with observational real-world healthcare data, including analytical experience with time-to-event methodologies.
• Proven expertise in RWD analytical studies, with proficiency in using R and SQL (especially statistical tools and packages).
• Demonstrated experience interfacing with clients and tailoring messaging to various stakeholders.
• Ability to thrive in a fast-paced environment with excellent project management skills.
• Proficiency in navigating large, complex problems, and excellent written and oral communication skills for conveying technical concepts to non-technical stakeholders.
• Eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors.

Beneficial Qualifications:

• Experience working with Pharma or drug development, especially in phase II-IV clinical trials.
• Analytical proficiency with claims, EHR, or registry data, along with knowledge of oncology and biomarker or molecular data (e.g., genomics).
• Experience with AWS and/or BigQuery and/or Google Cloud Platform (GCP), and familiarity with collaborative coding environments (using Git, Github, and code reviews).

We are an equal opportunity employer and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For remote roles open to individuals in unincorporated Los Angeles, Tempus reasonably believes that criminal history may adversely affect certain job duties, potentially leading to the withdrawal of a conditional offer of employment. Qualified applicants with arrest or conviction records will be considered in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.