Computational Biologist II, Tempus Discover

Tempus AI, Inc.; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

Tempus AI, Inc. is seeking a highly analytical Computational Biologist II to join the Discover Data Science team supporting external research collaborations. You will translate scientific questions into insight generation using large-scale real-world datasets and multi-omic profiles.

You will present findings to partners, stay current with real-world study methods and NGS analytics, and contribute to publications. The role emphasizes collaboration, fast-paced work, and integrity in research.

Qualifications

• PhD in quantitative NGS-related discipline or computational biology with multi-omics experience.
• Experience deriving oncology insights from genomic and real-world data.
• Strong collaboration and project management skills.
• Ability to present complex findings to diverse audiences.
• Interest in real-world studies and oncology guidelines.

Responsibilities

• Lead and contribute to research projects in real-world clinical and multi-omic data.
• Present insights to external partners.
• Stay updated on methodological advancements in real-world studies and NGS.
• Communicate results to audiences with varying genomics expertise.
• Contribute to publications and podium activities.

Skills

Genomics

Transcriptomics

Data analysis

Time-to-event analysis

Collaboration

Education

PhD in Computational Biology

Tools

R

Python

Bioconductor

Job description

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.

Salary

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.

Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics. We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives. We’re looking for people who can change the world. Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.