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
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
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.)
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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.
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What We Do
We bring together one of the world’s largest libraries of multimodal clinical and molecular data with a robust suite of AI tools to help physicians personalize care in real time, connect patients with therapies and clinical trials, and enable partners to accelerate discovery and development of new treatments.
With ~8 million de-identified research records and 350+ petabytes of data, Tempus partners with more than half of U.S. oncologists and the majority of the top 20 global pharma companies. Our teams are pioneering work across oncology, neurology, psychiatry, cardiology, and beyond—transforming how care is delivered and therapies are developed.
At Tempus, every role contributes to our mission: to help each patient benefit from the experiences of those who came before.
For more information, visit tempus.com.
Why Work With Us
We’re looking for people who can change the world. People who question the status quo and refuse to shy away from tough problems. For builders who are never done building, and the learners who are never done learning. Passionate individuals with undying curiosity who want to take on one of the greatest challenges humanity has ever faced—head on.
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Tempus AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Most of the team follows a hybrid policy, with some roles allowing for a fully remote arrangement and some roles being onsite only.
