Data Scientist II, Real World Evidence (RWE), Pharma R&D jobs in United States
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Tempus AI · 1 day ago

Data Scientist II, Real World Evidence (RWE), Pharma R&D

Tempus AI is a company focused on precision medicine and advancing the healthcare industry through AI technology. They are seeking a motivated RWE Data Scientist II to lead observational studies, derive insights from complex clinical data, and collaborate with pharmaceutical partners to enhance real-world data offerings.

Artificial Intelligence (AI)BiotechnologyHealth CareMachine LearningMedicalPrecision Medicine
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H1B Sponsor Likelynote

Responsibilities

Partner with pharmaceutical collaborators to independently execute robust RWE research plans that leverage the Tempus multimodal platform to address key questions in 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, while also serving as an expert on the methodological nuances and limitations of real-world data
Stay up-to-date on methodological advancements in real-world studies (e.g., causal inference, survival analysis) and oncology guidelines (NCCN and ongoing clinical trials) to contribute to reusable code, internal packages, and best practices 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 practices

Qualification

Real-world data expertiseSurvival analysisRSQL proficiencyMachine learning applicationPharma collaboration experienceClinical trial designOncology guidelines knowledgeCloud platforms experienceClient communicationProject management skillsSoft skills

Required

Education in epidemiology, biostatistics, data science, public health, or a related field, to the level of either: PhD or Master's degree and 2+ years of additional work experience
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., 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)
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

Preferred

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 configuring or adapting LLMs, or using related tools/frameworks, to support scientific work
Knowledge of oncology guidelines (e.g., NCCN)
Experience with biomarker or molecular data (e.g., genomics)
Experience with cloud platforms such as AWS and/or BigQuery and/or Google Cloud Platform (GCP)

Benefits

Incentive compensation
Restricted stock units
Medical and other benefits

Company

Tempus AI

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Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data.

H1B Sponsorship

Tempus AI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (3)

Funding

Current Stage
Public Company
Total Funding
$2.29B
Key Investors
Ares ManagementGoogleBaillie Gifford
2025-06-30Post Ipo Debt· $650M
2025-02-19Post Ipo Debt· $300M
2024-06-14IPO

Leadership Team

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Eric Lefkofsky
Founder and CEO
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Shane Colley
CTO
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Company data provided by crunchbase