Senior Data Scientist I, Real World Evidence (RWE), Life Sciences R&D

Tempus AI • Boston, MA

4d • Remote

About The Position

Tempus is seeking a highly motivated and solutions-oriented RWE Sr. Data Scientist I with experience and interest in oncology and epidemiological study design to join their Life Sciences R&D team. This role involves working with major pharmaceutical partners to provide data, analysis, and methodological guidance for Tempus’s real-world data offering. The position requires the ability to lead observational studies, derive insights from complex real-world clinical data, implement advanced statistical methods, and leverage cutting-edge AI tools. The goal is to connect real-world evidence to deliver actionable insights to physicians for optimal treatment decisions.

Requirements

• Education in epidemiology, biostatistics, data science, public health, or a related field, to the level of either: PhD and 2+ years of additional work experience OR 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.
• Demonstrated experience interfacing with clients, showcasing adeptness in presenting and tailoring messaging to a variety of stakeholders.
• 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.

Nice To Haves

• 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).

Responsibilities

• Lead the design and execute delivery of RWE analyses for key pharma clients, translating complex drug development questions into actionable research plans.
• Lead the derivation of complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity.
• Serve as an expert on the methodological nuances and limitations of real-world data.
• 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.
• Incorporate LLMs, agentic workflows and other AI tools into day-to-day workflows to accelerate code development, discovery, documentation, review, and insight generation.
• 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.
• 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.
• Proactively identify gaps in current products and ensure that customer feedback is represented in development of new products.
• Grow and maintain deep expertise in oncology clinical guidelines (e.g., NCCN) and emerging RWE methodologies.

Benefits

• incentive compensation
• restricted stock units
• medical and other benefits depending on the position

What This Job Offers

• Job Type: Full-time
• Career Level: Senior