Computational Biologist II, Tempus Discover
Tempus AI
Summary
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.
Job description
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.
Requirements
- 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
- Experience deriving real-world endpoints using time-to-event methodologies within a retrospective database
- Excellent project management skills
- Proven ability to collaborate with teams of multi-disciplinary scientists to define and execute analysis plans
- Experience with omics datasets (genomics, transcriptomics)
- Thrive in a fast-paced environment and willing to shift priorities seamlessly
- Collaborative mindset with eagerness to learn and dedication to integrity
Benefits
- Incentive Compensation
- Restricted Stock Units
- Medical Benefits
Company overview
Tempus AI, Inc. (NASDAQ: TEM) is a pioneering healthcare technology company founded in 2015 by Eric Lefkofsky in Chicago, Illinois. The company was established after Lefkofsky's wife was diagnosed with breast cancer, driving his mission to revolutionize cancer care through technology and artificial intelligence. Tempus specializes in applying AI to advance precision medicine by collecting and analyzing vast amounts of molecular, clinical, and genomic data. The company operates across multiple therapeutic areas including oncology, cardiology, radiology, neurology, psychiatry, and dermatology. Tempus provides comprehensive diagnostic services including next-generation sequencing (NGS), PCR profiling, and molecular pathology testing. Its AI-powered platform enables physicians to make real-time, data-driven decisions for personalized patient care and targeted therapies. The company went public in June 2024 and has expanded globally with operations in multiple countries. Tempus continues to innovate at the intersection of healthcare and artificial intelligence, aiming to ensure patients receive the right treatments at the right time for improved health outcomes.