Data Scientist II, Real World Evidence, Life Sciences R&D

Tempus AI

. Partner with pharmaceutical collaborators to independently execute robust real-world evidence research plans .

Posted 9/30/2026full-timeUnited StatesJuniorMid-Level💰 $100,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in real-world evidence research, utilizing advanced analytical methodologies and coding practices to derive insights from complex healthcare data. Proficient in communicating findings to diverse stakeholders while adhering to best practices in software engineering and project management.

Highest-signal resume keywords

Proficiency In RProficiency In SQLSurvival AnalysisReal-World Data Analytical StudiesMachine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

EpidemiologyBiostatisticsData ScienceObservational Real-World Healthcare DataTime-To-Event MethodologiesStatistical Tools And PackagesVersion ControlModular CodeDocumentationAnalytical Best Practices

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationStrong Project Management SkillsInterfacing With ClientsCollaboration With Multidisciplinary Scientists

Tools & Technologies

LLMsAgentic FrameworksAWSBigQueryGoogle Cloud Platform

Industry Keywords

Pharmaceutical CollaboratorsOncology GuidelinesPhase II–III Clinical Trial DesignClaims DataEHR DataRegistry DataBiomarker DataMolecular DataGenomics

Tech Stack

Tools & technologies

AWSBigQueryCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Partner with pharmaceutical collaborators to independently execute robust real-world evidence research plans
Address trial design and outcomes research questions using Tempus’s multimodal platform
Lead derivation of complex real-world endpoints using extensive coding
Apply expertise in Tempus clinical and molecular data structures
Advise on methodological nuances and limitations of real-world data
Track advancements in causal inference, survival analysis, and oncology guidelines
Contribute reusable code, internal packages, and analytical best practices
Incorporate LLMs, agentic workflows, and other AI tools into daily workflows
Accelerate code development, discovery, documentation, review, and insight generation
Interpret RWE analysis results and evaluate study limitations
Communicate complex methods and results to technical and non-technical stakeholders
Prepare and present internal reports, external deliverables, manuscripts, or conference materials
Collaborate with product, oncology, clinical abstraction, and real-world data science teams
Enhance Tempus data quality, products, and analytical best practices

Requirements

What you’ll need

Education in epidemiology, biostatistics, data science, public health, or a related field, at the level of either a PhD or a Master’s degree and 2+ years of additional work experience
Proficiency with observational real-world healthcare data
Analytical experience with time-to-event methodologies (survival analysis)
Proven expertise in executing real-world data analytical studies
Proficient in R and SQL, especially statistical tools and packages
Proficiency applying machine learning, LLM-based coding assistants, and agentic frameworks to data analysis, code review, or scientific documentation workflows
Adherence to good software engineering practices, including version control, modular code, and documentation
Demonstrated experience interfacing with clients and presenting to varied stakeholders
Excellent written and verbal communication skills
Strong project management skills
Ability to work with multidisciplinary scientists on complex problems
Preferred: Experience with Pharma or drug development
Preferred: Experience in Phase II–III clinical trial design
Preferred: Proficiency with claims, EHR, or registry data
Preferred: Practical experience configuring or adapting LLMs and related tools/frameworks
Preferred: Knowledge of oncology guidelines such as NCCN
Preferred: Experience with biomarker or molecular data, including genomics
Preferred: Experience with AWS, BigQuery, or Google Cloud Platform (GCP)

Benefits

Comp & perks

Incentive compensation may be offered
Restricted stock units may be offered
Medical and other benefits depending on the position
Equal opportunity employer