Strategic Pharma Partnership: Lead the design and execution of RWE analyses for key pharma clients. Translate complex drug development questions into actionable research plans using Tempus data for trial design and outcomes research.

Real World Data Expertise & Technical Oversight: Derive complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexities. Serve as an expert on methodological nuances and limitations of real-world data.

Methodological Standards & Mentorship: Set the technical standard for the team by implementing advanced methods in survival analysis, machine learning, and predictive modeling. Mentor junior scientists, review code, and develop tools that establish best practices across the organization.

AI-Enhanced Workflows: Drive the practical adoption of LLMs and agentic tools into daily workflows, improving speed and accuracy of code development, documentation, and review.

Scientific Leadership & Influence: Own communication of high-stakes results to internal executives and external partners. Ensure scientific integrity of all deliverables, including manuscripts, conference abstracts, and technical reports.

Cross-Functional Collaboration: Collaborate with product, oncology, clinical abstraction, and real-world data science teams to enhance data quality, products, and analytical best practice. Identify gaps and represent customer feedback in new product development.

Oncology & RWE Domain Expertise: Maintain deep expertise in oncology clinical guidelines (eg, NCCN) and emerging RWE methodologies. Translate external shifts into internal strategy, ensuring research designs and data modeling remain current and reflect standard of care.

Education: Advanced education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either:

• PhD and 4 years of additional work experience
• Master's degree and 6 years of additional work experience

Technical & Statistical Mastery: Expert-level proficiency in observational real-world healthcare data, specifically in designing and implementing complex time-to-event methodologies (survival analysis). Track record of leading RWD analytical studies from initial scoping through to publication or dissemination.

Programming: Proficient in R and SQL, especially statistical tools and packages. Proficiency applying machine learning, LLM-based coding assistants (eg, Copilot, Cursor), and agentic frameworks to support data analysis, code review, or scientific documentation workflows.

Software Engineering: Adherence to good software engineering practices (version control, modular code, documentation). Experience with code review.

Communication & Client Ownership: Primary technical point of communication for pharma clients, translating highly technical findings into strategic recommendations for senior stakeholders.

Leadership & Soft Skills: Strong project leadership and ability to manage multiple high-priority workstreams in a fast-paced environment. Excellent written and verbal communication skills. Experience mentoring junior scientists and fostering a culture of continuous methodological improvement.

Experience working with Pharma or drug development; clinical trial design (particularly Phase II-III); proficiency with claims, EHR, or registry data; experience building/fine-tuning LLM-based tools and agentic workflows for scientific discovery; familiarity with NCCN guidelines; analysis of biomarker, genomic, or high-dimensional molecular data; management of large-scale data projects in cloud environments (AWS, GCP, BigQuery).

Salary: CHI: $130,000-$175,000 USD. NYC/SF: $140,000-$185,000 USD. 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.

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.