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fessor Gabor Marth (<a href="http://marthlab.org"><strong>http://marthlab.org</strong></a>) at the University
c Discovery ( UCGD ,<a href="http://ucgd.genetics.utah.edu"><strong>http://ucgd.genetics.utah.edu</strong></a>) is seeking a postd
iology and disease (<a href="https://commonfund.nih.gov/smaht"><strong>https://commonfund.nih.gov/smaht</strong></a>). The ideal candida
the SMaHT Network (<a href="https://commonfund.nih.gov/smaht/fundedresearch"><strong>https://commonfund.nih.gov/smaht/fundedresearch</strong></a>); publish their wor
t Dr. Gabor Marth at<a href="mailto:aquinlan@genetics.utah.edu"><strong>gmarth@genetics.utah.edu</strong></a>for any additional i

Job Information

University of Utah Post Doc Res Assoc w/Ret in Salt Lake City, Utah

Details

Open Date 06/14/2023

Requisition Number PRN35350B

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 20000 to 500000

Close Date

Open Until Filled Yes

Job Summary

The laboratory of Professor Gabor Marth (http://marthlab.org) at the University of Utah Department of Human Genetics and Utah Center for Genetic Discovery ( UCGD ,http://ucgd.genetics.utah.edu) is seeking a postdoctoral scientist to lead the development and application of computational algorithms for the detection of somatic mutations leading to somatic mosaicism . The successful candidate will develop, implement, apply, and benchmark a reference-free computational algorithm for detecting somatic mutations across all mutation types, length, and allele frequencies. This work is supported by a grant award in Dr. Marth’s laboratory to participate in the Somatic Mosaicism across Human Tissues Network, a new NIH initiative to transform our understanding of how somatic mosaicism in human cells influences biology and disease (https://commonfund.nih.gov/smaht). 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 experience working with modern DNA sequencing datasets is a big plus. Applicants should have a passion for solving complex problems and value collaboration and teamwork while also being able to work individually. The candidate will be expected to take a leadership role in collaborations with other groups at the University of Utah, as well as the other funded institutions within the SMaHT Network (https://commonfund.nih.gov/smaht/fundedresearch); publish their work in peer-reviewed journals; and present their work in national and international meetings. A high degree of organization and professionalism is required. We offer a competitive salary and benefits package (including a generous retirement contribution) for highly qualified candidates. This position is available immediately.

The successful candidate will join a vibrant and collaborative community of computational, experimental, and clinical scientists. The Marth Laboratory has long been on the vanguard of building computational tools for to accelerate genomic science across a wide spectrum of basic, translational, and clinical research areas. Within the SMaHT Consortium, we are expanding our computational algorithms for discovering, cataloguing, and interpreting somatic mosaicism, with the ultimate goal to build a Human Somatic Mosaicism Atlas. We are also part of the Data Management Coordinating Center for NIH’s Undiagnosed Diseases Network where we are building a comprehensive system for longitudinal genome diagnostics. Within NIH’s Clinical and Translational Science Awards Program, we are developing and deploying a genomic data management and analysis platform. We are currently poised to join NCI’s PDXNet Consortium, where we will be developing machine learning approaches for predicting response for single-agent and combination cancer therapies, to facilitate individualized cancer treatment selection.

The Marth Laboratory and the UCGD , located in the Eccles Institute of Human Genetics on the University of Utah Medical School campus in Salt Lake City, operates at the interface between basic and clinical sciences, creating ample opportunities for collaborations with clinical researchers and easy access to high-valued clinical datasets. The proximity to the Wasatch Mountains and the Southern Utah desert provide a unique recreational and geographical landscape that attracts a very diverse and productive scientific community. We are committed to building and fostering a highly diverse scientific community.

Please contact Dr. Gabor Marth atgmarth@genetics.utah.edufor any additional information.

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/

Online reports may be submitted at oeo.utah.edu

https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

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