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.

Additional Information

The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.

The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.

Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page.

Online reports may be submitted at https://oeo.utah.edu

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As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.