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Tempus AI

Data Scientist, Discovery AI

Sorry, this job was removed at 08:05 p.m. (CST) on Monday, Jul 07, 2025
Hybrid
4 Locations
90K-150K Annually
Hybrid
4 Locations
90K-150K 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:

We are seeking a highly skilled and innovative Data Scientist to join our Data Science Discovery AI team. Your work will contribute to improving patient care, optimizing clinical products, and advancing medical research. This position offers an exciting opportunity to leverage the power of artificial intelligence on one of the largest clinicogenomics real-world datasets in human history.  

As a Data Scientist, you will play a crucial role in designing and developing AI-enabled multi-modal algorithms. The ideal candidate will possess strong skills in data science, expertise in genomics machine learning, and experience with real-world clinical data.

  • Analyze large multimodal datasets to develop new AI-powered insights 

  • Develop and characterize novel algorithms for predicting cancer subtype, patient outcome, and treatment response

  • Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine

  • Interrogate analytical results for robustness, generalization, and clinical impact

  • Document, summarize, and present your findings to a group of peers and stakeholders

Required Qualifications:
  • MS/PhD degree in a quantitative discipline (e.g. statistical genetics, cancer genetics, machine learning, bioinformatics, statistics, computational biology, biomedical informatics, or similar)

  • Experience working with genomic (e.g., DNA-seq, RNA-seq) or clinical (survival data, trials, real world evidence, claims) data

  • Outstanding data analysis skills, with a particular focus on detailed characterization of genomics and clinical datasets for powering machine learning algorithms

  • Experience with supervised and unsupervised machine learning algorithms used in genomics and clinical research: regression, classification, survival modeling, Kaplan-Meier, Cox regression 

  • Strong programming skills and experience with the python clinical+molecular data science stack: pandas, scikit-learn, lifelines, and jupyter

  • Strong database and SQL skills: BigQuery, dbt

  • Experience with engineering best practices for research computing (docker, git, code review, workflow managers, linux, cloud computing)

  • Thrive in a fast-paced environment and able to shift priorities seamlessly

  • Experience with communicating insights and presenting concepts to diverse audiences

  • Team player mindset and ability to work in an interdisciplinary team

  • Goal orientation, self motivation, and drive to make a positive impact in healthcare

Preferred Qualifications:
  • 3+ years full time employment or postdoctoral experience building and validating predictive models on structured or unstructured data.

  • Experience with traditional and deep learning approaches to survival modeling and subtyping

  • Experience working with clinical cancer data (progression free vs overall survival, missing data etc.)

#LI-GL1

#LI-Hybrid

Illinois Pay Range: $90,000 - $135,000 USD

New York & California Pay Range: $100,000 - $150,000 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. 

HQ

Tempus AI Chicago, Illinois, USA Office

Our Chicago office is located in downtown River North. Right on the river and close to neighborhoods like Fulton Market, Central Business District, Lincoln Park, and Streeterville, it's a lively area with convenient transportation access and is home to many bars, restaurants, and coffee shops.

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

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