Data Scientist II Life Sciences R&D

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI impact clinical care meaningful way . Tempus proprietary platform connects an entire ecosystem real-world evidence deliver real-time actionable insights physicians providing critical information right treatments right patients right time.

The Real World Evidence (RWE) group within Life Sciences R&DTeam tempus works major pharmaceutical partners provide best class data analysis methodological guidance tempus real-world data offering.

We seeking a highly motivated solutions oriented RWE Data Scientist II experience interest oncology epidemiological study design join team this role requires ability lead observational studies derive insights complex real-world clinical data implement advanced statistical methods leverage cutting edge AI tools scale tasks augment insights.

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

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

• Experience working Pharma drug development.
• Experience clinical trial design particularly Phase II-III clinical development space.
• Analytical proficiency claims EHR registry data.
• Practical experience configuring adapting LLMs using related tools frameworks…