Job Details

Post Doc Res Assoc

Position Number: 9926931
Location: Salt Lake City, United States
Position Type: Medicine - Medical Researcher

Post Doc Res Assoc

Job Summary

Now hiring a Post-doctoral Research Fellow of Cancer Data Science in the Translational Bioinformatics and Cancer Systems Biology Laboratory of Dr. Aik Choon Tan (http://tanlab.org ) at the Huntsman Cancer Institute, University of Utah. We are looking for a talented, energetic and highly motivated individual to join our lab to contribute to the vision of a cancer-free frontier! This position will be involved in innovative data science projects linking bench to bedside. The research fellow will apply and develop computational and AI/machine learning algorithms to integrate multi-omics real-world data sets for the identification of predictive biomarkers for cancer treatments. The research fellow will have the opportunity to be trained by computational and experimental/clinical mentors and will be supervised by Dr. Aik Choon Tan. He/she will have the opportunity to collaborate with cutting-edge oncology research groups at the Huntsman Cancer Institute and work on translational research projects. If you have the vision, passion, and dedication to contribute to our mission, then we have a place for you!

Position Highlights:

Opportunity to work in exciting translational cancer research projects in a multi-disciplinary team science setting.
Participate in advanced cancer data science research projects.
Outstanding mentorship from expert faculty with wide-ranging funded research programs.
Work at the intersection of data science and precision oncology research.
Translating bioinformatics research in clinical trials.
Leverage AI/LLM for cancer data science projects.

Huntsman Cancer Institute is committed to cancer prevention, care, and survivorship for all communities within the area we serve -- which includes Idaho, Montana, Nevada, Utah, and Wyoming -- with impact worldwide.

In your cover letter or during your interview process, we invite you to share how your professional experiences have prepared you to serve as a member of our team as we work to reduce the cancer burden experienced by all people and communities. This may include description of your prior experiences related to research, prevention, clinical care, community engagement/outreach, training, administration, or other areas relevant to Huntsman Cancer Institute's mission and this position.

Responsibilities
The Ideal Candidate:

The successful applicant will have completed (or be close to completing) a Ph.D. or M.D./Ph.D. in an applied quantitative discipline or cancer biology with experience in computational data analysis. This includes, but is not limited to, Computer Science, Informatics, Biostatistics, Population/Evolutionary Genomics, Pharmacology, Immunology, Microbiology or Data Science.
Deep understanding of molecular therapeutics and cancer biology.
Experience in AI/LLM implementation and deployment, as indicated by publication.
The applicant should have a strong interest in either basic or translational research. A track record of applying computational and/or statistical models to solve biological problems is desired.
Experience in common programming languages is needed (e.g., R, Python, C, Java, Perl).
Preference will be given to applicants with strong evidence of productivity, creativity, and self-motivation.
A track record of conference poster and/or oral presentations, and first author peer-reviewed publications, is expected.
The ability to independently gain new skills and solve problems in a timely manner.
Effective communication skills and fluency in written and spoken English.
Team player.

Responsibilities:

Design, develop and deploy computational and statistical learning methods in analyzing cancer real-world data.
Works closely with the Principal Investigator to manage, analyze and interpret data.
Contribute to peer-reviewed publications.
Present results in conferences and meetings.
Communicate effectively in team science settings.
Contribute to rigor and reproducible data science research.

Minimum Qualifications

Preferences
Preferences:

MD or PhD in Computer Science, Informatics, Biostatistics, Population/Evolutionary Genomics, Cancer Biology, Pharmacology, Immunology, Microbiology or Data Science.
Should have at least one first authorship publication in peer-reviewed journal.

Special Instructions

Requisition Number: PRN46615B
Full Time or Part Time? Full Time
Work Schedule Summary:
Department: 02274 - HCI Aik Choon Tan Resrch Prog
Location: Campus
Pay Rate Range: 65,000-85,000
Close Date: 11/30/2026
Open Until Filled:

To apply, visit https://utah.peopleadmin.com/postings/211511