Senior Data Scientist, Outcomes Research

🔥 20 minutes ago

🏄 California, Illinois, +2 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $100k - $160k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Tempus AI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🏥 Healthcare

🧬 Biotechnology

🤖 Artificial Intelligence

Healthcare • Biotechnology • Artificial Intelligence

Tempus AI is an advanced healthcare technology company that specializes in precision medicine through the use of AI and genomic profiling. The company provides innovative solutions across various medical fields, including oncology, cardiology, neurology, and psychiatry. Tempus enables healthcare providers to make informed treatment decisions by integrating real-world data, clinical trial matching, and algorithmic testing to improve patient outcomes and accelerate drug development.

📋 Description

• Lead and execute HEOR and real-world evidence projects, including outcomes analysis, treatment patterns, and healthcare resource utilization • Represent Outcomes Research and collaborate with internal and external stakeholders on study design, analysis, interpretation, and publication • Select and adapt epidemiologic and health economic methodologies for complex problems • Partner with scientists, engineers, and product developers to translate research into clinically actionable insights • Stay current with advances in causal inference and pharmacoepidemiologic methods • Build reusable analytical infrastructure, code, templates, and workflows • Comply with regulations, Tempus data governance, and company procedures for real-world data use and reporting

🎯 Requirements

• Advanced degree: Master’s with 5+ years experience, PhD with 3+ years experience, or Bachelor’s with 8+ years experience in data science, bioinformatics, biostatistics, epidemiology, public health, or a related quantitative field • Computational skills using R and SQL applied to large-scale healthcare datasets • Strong data manipulation and analytical skills for observational/real-world data • Familiarity with HEOR and RWE methodologies, including propensity score matching, weighting, and inverse probability of treatment weighting • Experience analyzing administrative claims, electronic health records, and/or clinico-genomic databases • Experience with time-to-event analysis and survival methodologies • Ability to assess and communicate study limitations and draw appropriate inferences • Preferred experience with oncology and cancer genetics, immunology, or molecular biology outcomes • Nice to have version control, software testing, or validation experience • Nice to have experience with oncology Phase II–IV clinical trials or RWD studies • Nice to have experience contributing to FDA or other health authority regulatory submissions • Nice to have model building and validation experience, including feature engineering and performance assessment • Nice to have client-facing or consulting experience • Ability to work effectively with interdisciplinary teams and communicate complex methodologies to non-technical stakeholders

🏖️ Benefits

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