Lead the design and execute delivery of RWE analyses for key pharma clients
Responsible for translating complex drug development questions into actionable research plans that use Tempus data for trial design and outcomes research
Lead the derivation of complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity
Set the technical standard for the team by implementing advanced methods in survival analysis, machine learning, and predictive modeling
Actively mentor more junior scientists, guiding their technical development, reviewing code, and developing tools that set best practices across the organization
Drive the practical adoption of LLMs and agentic tools into daily workflow
Own the communication of high-stakes results to both internal executives and external partners
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
Maintain deep expertise in oncology clinical guidelines (e.g., NCCN) and emerging RWE methodologies.

Requirements

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 or Master’s degree and 6+ years of additional work experience
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
Proficient in using R and SQL, especially statistical tools and packages
Proficiency applying machine learning, LLM-based coding assistants (e.g., 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
Experience as a primary technical point of communication for pharma clients, with a proven ability to collaborate on study design and translate highly technical findings into strategic recommendations for senior-level stakeholders
Strong project leadership with excellent written and verbal communication skills
Experience mentoring junior scientists, providing rigorous technical review, and fostering a culture of continuous methodological improvement.

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

survival analysismachine learningpredictive modelingobservational real-world healthcare datatime-to-event methodologiesRSQLdata analysiscode reviewstatistical tools

Soft skills

project leadershipmentoringcommunicationcollaborationtechnical reviewguidancecontinuous improvementwritten communicationverbal communicationstrategic recommendations

Certifications

PhDMaster’s degree