Tempus AI · 3 days ago
Senior Data Scientist II, Real World Evidence (RWE), Pharma R&D
Chicago, IL
Full-time
Hybrid
Mid, Senior Level
$140K/yr - $185K/yr
4+ years expTempus AI is a company focused on precision medicine and advancing healthcare through AI technology. They are seeking a highly motivated Senior Data Scientist II to lead observational studies and derive insights from complex clinical data, while implementing advanced statistical methods and leveraging AI tools for enhanced workflows.
Artificial Intelligence (AI)BiotechnologyHealth CareMachine LearningMedicalPrecision Medicine
Responsibilities
Lead the design and execute delivery of RWE analyses for key pharma clients
Lead the derivation of complex real-world endpoints using extensive coding
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 your own and the broader team’s 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 and emerging RWE methodologies
Qualification
Required
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 or 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
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
Communication & Client Ownership: 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
Leadership & Soft Skills: Strong project leadership and the ability to manage multiple high-priority workstreams simultaneously in a fast-paced environment
Soft Skills: Strong project leadership with excellent written and verbal communication skills. Ability to thrive in a fast-paced, dynamic environment working with multi-disciplinary scientists on complex problems
Experience mentoring junior scientists, providing rigorous technical review, and fostering a culture of continuous methodological improvement
Preferred
Experience working with Pharma or drug development
Experience in clinical trial design (particularly Phase II-III) in the clinical development space
Extensive proficiency with claims, EHR, or registry data
Practical experience building, fine-tuning, or configuring LLM-based tools and agentic workflows specifically for scientific discovery
High-level familiarity with NCCN guidelines and the ability to interpret real-world outcomes within the context of the current oncology standard of care
Significant experience analyzing biomarker, genomic, or other high-dimensional molecular data alongside clinical datasets
Proficiency in managing large-scale data projects within cloud environments such as AWS or Google Cloud Platform (GCP), including BigQuery expertise
Benefits
Incentive compensation
Restricted stock units
Medical and other benefits depending on the position
Company
Tempus AI
Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data.
1001-5000 employees
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 CompanyTotal Funding
$2.29BKey Investors
Ares ManagementGoogleBaillie Gifford
2025-06-30Post Ipo Debt· $650M
2025-02-19Post Ipo Debt· $300M
2024-06-14IPO
Leadership Team
Eric Lefkofsky
Founder and CEO
Shane Colley
CTO
Recent News
2026-01-06
Company data provided by crunchbase