Data Scientist II, Outcomes Research

🔥 0 minutes ago

🏄 California, New York, +1 more states – Remote

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

💵 $100k - $150k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 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 (RWE) projects, including outcomes analysis, treatment patterns, and healthcare resource utilization • Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation, and publication of real-world studies • Work on complex problems, selecting and adapting appropriate epidemiologic and health economic methodologies • Partner with interdisciplinary scientists, engineers, and product developers to translate research into clinically actionable insights for clients • Stay current with methodological advances in RWE, including causal inference and pharmacoepidemiologic methods • Build analytical infrastructure, including reusable code, templates, and workflows • Comply with applicable regulations, Tempus data governance, and company procedures related to real-world data use and reporting

🎯 Requirements

• Advanced degree (Master’s with 2+ years experience or equivalent) in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related quantitative field • Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare datasets • Strong data manipulation and analytical skills tailored to observational/real-world data • Deep familiarity with HEOR and RWE methodologies, including approaches to address confounding • Experience analyzing large, complex real-world datasets, including administrative claims, electronic health records (EHR), and/or clinico-genomic databases • Experience with time-to-event analysis and survival methodologies • Experience working in oncology and/or analyzing outcomes related to cancer genetics, immunology, or molecular biology • Ability to draw appropriate inferences based on study design and explicitly assess and communicate study limitations • Experience with version control (e.g., Git) and software testing or validation processes • Experience working in oncology Phase II-IV clinical trials and/or with RWD and/or HEOR studies • Hands-on experience contributing to regulatory submissions to the FDA or other health authorities • Experience supporting data science teams in model building and validation, including feature engineering and performance assessment • Client-facing or consulting experience and comfort presenting results and recommendations to external stakeholders

🏖️ Benefits

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