Senior Data Scientist I, Real World Evidence (RWE), 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: Lead the design and execute delivery of RWE
• analyses for key pharma clients. You will be responsible for translating
• complex drug development questions and into actionable research plans that
• use Tempus data for 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: Build technical standards for the team,
• staying up-to-date on methodological advancements in real-world studies
• (e.g., causal inference, survival analysis) and oncology guidelines (NCCN and
• ongoing clinical trials). Contribute to reusable code and internal packages
• 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 practice. You will
• proactively identify gaps in current products and ensure that customer
• feedback is represented in development of new products.
• Oncology & RWE Domain Expertise: Grow and maintain deep expertise in oncology
• clinical guidelines (e.g., NCCN) and emerging RWE methodologies.

Required

• Education: Education in epidemiology, biostatistics, data science, public
• PhD and 2+ years of additional work experience
• Master’s degree and 4+ years of additional work experience
• Expert-level 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).
• Experience with code review.
• 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 building, fine-tuning, or configuring LLM-based tools
• and agentic workflows specifically for scientific discovery.
• Knowledge of oncology guidelines (e.g., NCCN).
• Significant experience analyzing biomarker, genomic, or other
• high-dimensional molecular data alongside clinical datasets.
• Experience with cloud platforms such as AWS and/or BigQuery and/or Google
• Cloud Platform (GCP).
• USA: $120,000-$170,000
• NYC/SF: $130,000-$180,000
• 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