Postdoctoral Fellow, Precision Oncology & Genomics (Remote)

Tempus; Chicago (IL); On-site; USD 75,000 - 100,000; Full time

Benefits offered by this job

Benefits package

Job summary

Tempus offers a postdoctoral fellowship designed to advance precision oncology by studying real-world clinicogenomic data. The researcher will apply computational methods to multi-modal data, joining a collaborative team of clinicians, molecular biologists, and data scientists to tackle challenging genomic-guided medicine problems.

The position provides access to a large genomic database, extensive computational resources, and mentorship to develop independent projects that improve patient

Qualifications

• PhD in Computational Biology, Bioinformatics or related field (or MD with cancer translational research).
• First-author or co-first author paper in a top journal.
• Ability to design and execute studies bridging molecular and clinical cancer data.
• Excellent communication and organizational skills.

Responsibilities

• Study and advance precision oncology using one of the world’s largest clinicogenomic databases.
• 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.
• Collaborate with clinicians, molecular biologists, and data scientists across a dynamic computational biology group.

Skills

Computational biology

Bioinformatics

Clinical cancer research

Python

R

Education

PhD in Computational Biology

PhD in Bioinformatics

MD with clinical/translational cancer research

Job description

Tempus offers a postdoctoral fellowship designed to advance precision oncology by studying real-world clinicogenomic data. The researcher will apply computational methods to multi-modal data, joining a collaborative team of clinicians, molecular biologists, and data scientists to tackle challenging genomic-guided medicine problems.

The position provides access to a large genomic database, extensive computational resources, and mentorship to develop independent projects that improve patient