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Tempus AI

Senior Data Scientist, Real World Evidence

Sorry, this job was removed at 08:05 p.m. (PST) on Tuesday, Jul 08, 2025
Hybrid
4 Locations
130K-190K Annually
Hybrid
4 Locations
130K-190K Annually

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Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

What You’ll Do:

The Real World Evidence (RWE) group within the Pharma R&D team at Tempus works with pharmaceutical partners to provide best-in-class data, analysis, and methodological guidance to Tempus’s real-world data offering. We are seeking a highly motivated and solutions-oriented Sr. Data Scientist, RWE with experience and interest in oncology and clinical/epidemiological study design and execution to join our team. Top candidates will have experience working with observational healthcare or clinical trial data, and expertise in biostatistics, epidemiology, and/or real-world data analytics.

Responsibilities:

  • Spearhead analyses of Tempus data for RWE studies in collaboration with major pharmaceutical partners.
  • Advance Tempus' offerings to pharmaceutical partners by leading projects that incorporate cutting-edge machine learning and artificial intelligence techniques.
  • Execute advanced coding and derive real-world endpoints, demonstrating a deep understanding of Tempus' molecular and clinical datasets.
  • Provide mentorship to junior colleagues on technical skills, fostering their professional growth and enhancing team capabilities.
  • Analyze and interpret RWE study results to draw appropriate inferences, considering study design and statistical methodologies, while also assessing study limitations.
  • Articulate research findings to external Pharma partners' RWE and clinical teams, offering strategic insights and recommendations.
  • Collaborate with internal teams, including engineering, oncology, bioinformatics, and clinical abstraction, to continuously improve Tempus data quality, products, and analytical best practices.
  • Stay on top of the latest methodological advancements in real-world studies and oncology guidelines (NCCN and ongoing clinical trials), ensuring alignment with the evolving oncology landscape within Tempus’ database.
  • Ensure compliance with all relevant regulations and company procedures.

Minimum Qualifications:

  • 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
    • Master’s degree and 6+ years of additional work experience
  • Extensive experience with observational real-world healthcare data, including proficiency in time-to-event analytical methodologies.
  • Applicable knowledge of machine learning and statistical modeling. 
  • Demonstrated success in leading RWD analytical studies.
  • Proficient in using R and SQL, with a strong command of statistical tools and packages.
  • Proven track record of mentoring junior colleagues.
  • Experience interfacing with external stakeholders, with the ability to present and tailor messaging to diverse stakeholders.
  • Thrive in a fast-paced environment with exceptional project management skills.
  • A collaborative mindset, with proven ability to work with teams of multi-disciplinary scientists to define and execute analysis plans
  • Adept at navigating and solving large, complex problems.
  • Excellent written and oral communication skills, including a demonstrated ability to communicate technical concepts to non-technical stakeholders.
  • Eagerness to learn, driven to make a positive impact in healthcare, and a steadfast dedication to maintaining integrity in all endeavors.

Beneficial:

  • Experience working with Pharma or drug development.
  • Experience of phase II-IV clinical trials.
  • Analytical expertise with claims, EHR, or registry data.
  • Biological or medical knowledge (e.g. Oncology, Immunology, or Human Disease).
  • Experience with biomarker or molecular data e.g. genomics.
  • Experience with AWS and/or Bigquery and/or Google Cloud Platform (GCP).
  • Experience producing code in a collaborative environment, using Git, Github, and code reviews.
  • Experience with R package development.

New York Pay Range

$140,000 - $190,000 USD

California Pay Range

$140,000 - $190,000 USD

Illinois Pay Range

$130,000 - $175,000 USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Tempus AI Redwood, California, USA Office

Our Redwood City office is located in a waterfront neighborhood at the heart of Silicon Valley, providing convenient access to tech hubs and boasting a thriving business scene. With excellent transport options and a range of dining choices, it's a dynamic hub for professionals and tech enthusiasts.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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