Data Scientist II, Real World Evidence, Life Sciences R&D

About Tempus AI Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. We enable physicians to make real-time, data-driven decisions to deliver personalized care and targeted therapies for patients through our analytical machine learning platform that uses the power of artificial intelligence in healthcare. We also work with partners to facilitate discovery, development, and delivery of optimized therapeutic options for patients through distinctive solution sets. Our mission is for each patient to benefit from the treatment of others who came before by providing the healthcare industry tools that learn as we gather more data. It’s About Time. For more information, visit tempus.com.

Tempus AI

Tempus AI, Inc. (NASDAQ: TEM) is a technology company leading the adoption of AI to advance precision medicine.

T

tempus.com

1,001-5,000 employees

Biotechnology Research

Chicago, IL

2015

Public Company

130k LinkedIn followers

Raised $2.8B

• Pharma Collaboration & Strategy: Partner with pharmaceutical collaborators to
• independently execute robust RWE research plans that leverage the Tempus
• multimodal platform to address key questions in trial design and outcomes
• research.
• Real World Data Expertise: Lead the derivation of complex real-world
• endpoints using extensive coding, demonstrating deep comprehension of Tempus
• clinical and molecular data structures and complexity, while also serving as
• an expert on the methodological nuances and limitations of real-world data.
• Methodology & Platform Contribution: Stay up-to-date on methodological
• advancements in real-world studies (e.g., causal inference, survival
• analysis) and oncology guidelines (NCCN and ongoing clinical trials) to
• contribute to reusable code, internal packages, and best practices that can
• be applied across multiple collaborations.
• AI & LLM Innovation: Incorporate LLMs, agentic workflows  and other AI tools
• into day-to-day workflows to accelerate code development, discovery,
• documentation, review, and insight generation.
• Scientific Interpretation & Communication: Interpret results of RWE analyses
• to draw appropriate inferences based on study design/statistical methods,
• while also evaluating study limitations. Communicate complex methods and
• results clearly to both technical and non-technical stakeholders. Prepare and
• present internal reports, external-facing deliverables, and, where
• appropriate, manuscripts or conference materials.
• Cross-Functional Collaboration: Collaborate with internal product, oncology,
• and clinical abstraction, and real-world data science teams to continually
• enhance Tempus data quality, products, and analytical best practices.

Required

• Education: Education in epidemiology, biostatistics, data science, public
• health, or a related field, to the level of either
• PhD
• Master’s degree and 2+ years of additional work experience
• Proficiency with observational real-world healthcare data, including
• analytical experience with time-to-event methodologies (survival
• analysis).
• Proven expertise in executing RWD analytical studies.
• Proficient in using R and SQL, especially statistical tools and packages.
• Proficiency applying machine learning, LLM-based coding assistants (e.g.,
• Claude Code, Copilot, Cursor) and agentic frameworks to support data
• analysis, code review, or scientific documentation workflows.
• Adherence to good software engineering practices (version control, modular
• code, documentation).
• Communication & Client Focus: Demonstrated experience interfacing with
• clients, showcasing adeptness in presenting and tailoring messaging to a
• variety of stakeholders.
• Soft Skills: Excellent written and verbal communication skills with strong
• project management skills. Ability to thrive in a fast-paced, dynamic
• environment working with multi-disciplinary scientists on complex problems.

Preferred

• Experience working with Pharma or drug development.
• Experience in clinical trial design (particularly Phase II-III) in the
• clinical development space.
• Analytical proficiency with claims, EHR, or registry data.
• Practical experience configuring or adapting LLMs, or using related
• tools/frameworks, to support scientific work.
• Knowledge of oncology guidelines (e.g., NCCN).
• Experience with biomarker or molecular data (e.g., genomics).
• Experience with cloud platforms such as AWS and/or BigQuery and/or Google
• Cloud Platform (GCP).
• USA: $100,000-$140,000
• NYC/SF: $110,000-$150,000
• The expected salary range above is applicable if the role is performed from
• California and may vary for other locations (Colorado, Illinois, New York).
• Actual salary may vary based on qualifications and experience. Tempus offers a
• full range of benefits, which may include incentive compensation, restricted
• stock units, medical and other benefits depending on the position.
• 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

• Incentive compensation
• Restricted stock units
• Medical benefits