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Postdoctoral Fellow

Tempus AI

Chicago, IL; Redwood City, CA; New York, NYOnsitePosted 52 days ago$75,000 - $120,000
Full TimeEntry LevelResearch & ScientistAI Biotech
Original posting ↗

Summary

This Postdoctoral Fellowship is designed to encourage and further the careers of postdoctoral fellows who are conducting cutting-edge clinical and genomic cancer research. Embedded within Tempus as an onsite researcher, the postdoctoral fellow will have direct access to over 300k de-identified samples with genomic and clinical data, a large organoid repository with genomic and pharmacological screening data, a huge computational environment, and mentorship and collaboration from clinicians, molecular biologists, and data scientists.

Job description

Responsibilities

We are looking for an exceptional postdoctoral fellow to study and advance precision oncology using one of the world’s largest clinicogenomic databases. The successful candidate will apply computational methods to real-world patient data, comprising genomic, transcriptomic, histopathological, and/or clinical data, to improve our understanding of target cancers and advance the application of precision medicine to improve patient outcomes. The successful candidate will join a dynamic and collaborative computational biology group, and develop independent research projects tackling challenging problems in genomic-guided medicine.

Qualifications

  • PhD in Computational Biology, Bioinformatics or related field OR PhD and/or MD with extensive experience in clinical & translational cancer research
  • Demonstrated record of innovative scientific accomplishments as evidenced by at least one first-author or co-first author key paper in a top journal
  • Demonstrated ability to design and execute studies bridging molecular and clinical cancer data
  • Enjoy working in a collaborative environment across departments
  • Excellent communication and organizational skills
  • Proficient in R, Python or other analytical programming language OR desire to acquire analytical skills and link with clinical/translational domain knowledge

Requirements

  • PhD in Computational Biology, Bioinformatics or related field OR PhD and/or MD with extensive experience in clinical & translational cancer research
  • Demonstrated record of innovative scientific accomplishments as evidenced by at least one first-author or co-first author key paper in a top journal
  • Demonstrated ability to design and execute studies bridging molecular and clinical cancer data
  • Enjoy working in a collaborative environment across departments
  • Excellent communication and organizational skills
  • Proficient in R, Python or other analytical programming language OR desire to acquire analytical skills and link with clinical/translational domain knowledge

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.

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