Postdoc: Precision Oncology & Genomics Research

Tempus AI, Inc.

Chicago (IL)

On-site

USD 75,000 - 100,000

Full time

14 days+

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Job summary

Tempus AI, Inc. is seeking a Postdoctoral Fellow to study and advance precision oncology using one of the world’s largest clinicogenomic databases.

You will apply computational methods to real-world patient data to improve understanding of target cancers and advance precision medicine. The role involves independent research projects, collaboration with clinicians, molecular biologists, and data scientists, and access to extensive genomic and clinical data resources.

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
  • 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

Responsibilities

  • Study and advance precision oncology using a large clinicogenomic database
  • Apply computational methods to real-world patient data to improve understanding of target cancers
  • Develop independent research projects tackling challenging problems in genomic-guided medicine

Skills

PhD in Computational Biology
Experience in cancer research
R/Python proficiency
Excellent communication

Education

PhD in Computational Biology/Bioinformatics or related field

Tools

R
Python

Job description

Tempus AI, Inc. is seeking a Postdoctoral Fellow to study and advance precision oncology using one of the world’s largest clinicogenomic databases.

You will apply computational methods to real-world patient data to improve understanding of target cancers and advance precision medicine. The role involves independent research projects, collaboration with clinicians, molecular biologists, and data scientists, and access to extensive genomic and clinical data resources.

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