Job Information
University of Utah Post Doc Res Assoc w/Ret in Salt Lake City, Utah
Details
Open Date 12/06/2024
Requisition Number PRN40550B
Job Title Post Doc Res Assoc w/Ret
Working Title Post Doc Res Assoc w/Ret
Job Grade A00
FLSA Code Administrative
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Shift Day
Work Schedule Summary
VP Area U of U Health - Academics
Department 00246 - Human Genetics
Location Campus
City Salt Lake City, UT
Type of Recruitment External Posting
Pay Rate Range DOE
Close Date 01/30/2025
Priority Review Date (Note - Posting may close at any time)
Job Summary
The Marth laboratory (http://marthlab.org) is seeking postdoctoral scientists with an interest in computational tool development and biomedical data analysis to join our team in three research areas.
(1) Machine learning algorithms for anticancer therapy selection . We are looking for a postdoctoral researcher to develop novel machine learning approaches for driving computational selection of targeted- and chemotherapies in a clinical precision oncology context. This work will leverage an active, NCI -funded research program in which we collaborate with cancer biologists, pharmacologists, and clinical oncologists in advanced/metastatic breast cancer and brain cancer; and utilize unique pharmaco-omic (drug response) datasets from patient-derived models of cancer available at the University of Utah and Huntsman Cancer Institute. The ultimate goal is to evaluate these approaches in clinical trials and implement them in the clinic for personalized therapy selection in treatment-refractory cancer patients.
(2) Computational algorithms for somatic mosaicism discovery . We are also looking for a postdoc to participate in the development, implementation, benchmarking, and application of reference-free computational algorithms for detecting somatic mutations. This work is supported by a grant award in Dr. Marth’s laboratory to participate in the Somatic Mosaicism across Human Tissues (SMaHT) Network, an NIH initiative to transform our understanding of how somatic mosaicism in organs, tissues, and cells influences human biology and disease (https://commonfund.nih.gov/smaht). The SMaHT Consortium is generating a wide spectrum of sequencing datasets from human tissues, providing a unique opportunity for discovery in a highly collaborative project involving >20 research groups and institutions. In this project, we are contributing to the construction of a comprehensive Healthy Human Somatic Mosaicism Atlas across multiple tissues in hundreds of donors.
(3) Machine learning algorithms for rare disease discovery and diagnostics . We have a postdoc opening to develop machine learning approaches to study large cohorts of rare disease patients with extensive phenotype and genotype data. As part of the NIH -funded Undiagnosed Diseases Network ( UDN ) Data Management and Coordination Center, the Marth Laboratory is building a comprehensive rare-disease patient data management platform and a large set of diagnostic tools for improving diagnostic rates in the UDN patient cohort. Most relevantly, we are developing phenotype-driven patient-matching approaches that leverage the UDN patients and additional large disease cohorts to identify groups of patients with similar phenotypes to identify shared causative genes within the group. The long-term goal of this project is to develop advanced AI/ML algorithms for effective patient clustering, and to build a large database of diagnosed and as yet undiagnosed rare disease patients in which these algorithms are applied to significantly move the needle on improving diagnostic rates.
The ideal candidate will have obtained a doctoral degree in computer science, engineering, bioinformatics, or genetics; have proficiency with computer programming (C++, Python); experience with algorithm development; and familiarity with the UNIX operating system. Background in genetics and in AI/ML algorithm development, and experience with biomedical data analysis are a big plus. This position is available immediately.
Please contact Dr. Gabor Marth atgmarth@genetics.utah.edufor any additional information or to apply for one of the postdoc positions.
Responsibilities
Minimum Qualifications
Preferences
Type Benefited Staff
Special Instructions Summary
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 patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients.
All qualified individuals are strongly encouraged to apply. 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.
The University of Utah is an Affirmative Action/Equal Opportunity employer and 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 Affirmative Action ( OEO /AA). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at: https://www.utah.edu/nondiscrimination/
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