Computational Biologist II, Tempus Discover

Posted 18 Minutes Ago
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3 Locations
Hybrid
90K-150K Annually
Junior
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Tempus is a technology company leading the adoption of AI to advance precision medicine and patient care.
The Role
Conduct computational biology research using large-scale clinical and multi-omic datasets to generate oncology insights. Collaborate with medical and research teams, develop analyses using genomic and real-world evidence, derive time-to-event endpoints, present findings to external partners, and contribute to publications. The role requires strong scientific communication, project management, and expertise in quantitative NGS data analysis, with machine learning experience preferred.
Summary Generated by Built In

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.


Computational Biologist II, Tempus Discover

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.


About this position

We are looking for a highly analytical, self-motivated and solution-oriented scientist with a strong background in analyzing large-scale, multi-omic molecular and real-world clinical datasets to join our Discover Data Science team supporting external research collaborations. In this role, you will work directly with the Tempus Medical Sciences Team and oncology research leaders to understand their goals and translate their scientific questions into insight generation. Your work will directly enhance Tempus’ research capabilities and empower our teams and partners to generate actionable insights for patient care.

Responsibilities:

  • Lead and contribute to research projects in support of research initiatives within R&D and Medical Affairs, leveraging large-scale real-world clinical and multi-omic molecular data. 
  • Present insights from research studies to external research partners through formal presentations and communicate research findings effectively.
  • Stay updated on methodological advancements in real-world studies, next generation sequencing (DNA/RNA) and oncology guidelines.
  • Communicate analytical results, and scientific findings clearly to audiences with varying levels of technical and genomics expertise.
  • Participate in publications and podium activities.

Required Experience:

  • 1+ years experience in industry or academia, following completion of PhD degree in quantitative NGS-related disciplines (e.g. Computational Biology, Genetics, or similar). Alternatively, a PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis.  
  • Experience deriving oncology-specific clinical insights using genomic and/or real-world data and deriving real-world endpoints using time-to-event methodologies within a retrospective database.
  • Excellent project management skills, with proven ability to collaborate with teams of multi-disciplinary scientists to define and execute analysis plans to address scientific questions using omics datasets (genomics, transcriptomics).
  • Thrive in a fast-paced environment and willing to shift priorities seamlessly.
  • A collaborative mindset, coupled with a genuine eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors.

Nice to have:

  • Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes.
  • Hands-on experience applying machine learning techniques or foundation models (FMs) to complex biomedical or multi-omic datasets.
CHI: $90,000-$135,000 NYC/SF: $100,000-$150,000

The expected salary range may vary for other locations. 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.

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. 

Skills Required

  • PhD in a quantitative NGS-related discipline such as computational biology, genetics, or a similar field; alternatively, a PhD in computational biology with strong multi-omic, high-throughput sequencing analysis experience
  • At least 1 year of industry or academic experience after completing the PhD
  • Experience deriving oncology-specific clinical insights using genomic and/or real-world data
  • Experience deriving real-world endpoints using time-to-event methodologies within a retrospective database
  • Project management skills and demonstrated ability to collaborate with multidisciplinary scientists to define and execute analysis plans using omics datasets
  • Ability to work effectively in a fast-paced environment and shift priorities seamlessly
  • Collaborative mindset, eagerness to learn, and dedication to integrity
  • Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes
  • Hands-on experience applying machine learning techniques or foundation models to complex biomedical or multi-omic datasets

What the Team is Saying

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Tempus AI Compensation & Benefits Highlights

  • Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, vision, mental-health resources, and HSA/FSA options. Feedback suggests this breadth is a relative strength across many roles.
  • Leave & Time Off Breadth — Many corporate roles report flexible or unlimited PTO alongside paid holidays, sick leave, bereavement, volunteer time, and parental leave. Feedback suggests these policies offer solid time-off access, though practices can vary by function.
  • Wellbeing & Lifestyle Benefits — Perks such as commuter benefits, gym memberships or discounts, wellness programs, office snacks and beverages, and hybrid/remote options are highlighted. Feedback suggests these features enhance day-to-day experience for eligible employees.

Tempus AI Insights

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The Company
HQ: Chicago, IL
3,775 Employees
Year Founded: 2015

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.

Typical time on-site: 3 days a week
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