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University of Utah Genomics Data Analyst in Salt Lake City, Utah

Open Date 12/11/2020

Requisition Number PRN24892B

Job Title Biostatistician I

Working Title Genomics Data Analyst

Job Grade E

FLSA Code Professional

Patient Sensitive Job Code? No

Standard Hours per Week 40 hours

Full Time or Part Time? Full Time

Shift Day

Work Schedule Summary

Full-time.

VP Area President

Department 01562 - HCI KATHERINE VARLEY LAB

Location Campus

City Salt Lake City, UT

Type of Recruitment External Posting

Pay Rate Range 39,300 to 55,000

Close Date

Open Until Filled Yes

Job Summary

The Varley Lab in the University of Utah’s Huntsman Cancer Institute (www.huntsmancancer.org/varleylab) seeks a Genomics Data Analyst to contribute to their breast cancer genomics research. As a Genomics Data Analyst, you will use your knowledge and skills in computational biology and biostatistics to analyze and interpret data generated from genomics experiments including circulating tumor DNA sequencing, ChIP-seq, RNA -seq, ATAC -seq, and DNA methylation sequencing. Dr. Varley has formal training and a strong publication record in both computational and experimental biology and enjoys mentoring scientists who are interested in expanding their computational skills and contributing to cancer research.

The Varley Lab is focused on characterizing the molecular defects that occur in breast cancer, and translating these discoveries into clinical biomarker tests and novel therapeutic strategies that improve patient care. The lab provides an energetic, interactive and supportive environment for scientists to hone their skills. You will be encouraged to expand your knowledge of computer programming, statistical methods and cancer biology by attending seminars, webinars, short-courses and user groups. The University of Utah’s Huntsman Cancer Institute offers excellent benefits and is nestled in the foothills of the mountains surrounding Salt Lake City; providing terrific opportunities for world-class outdoor adventure and affordable convenient living.

Each member of the Varley Lab has a unique background and life experience. We believe that maximizing diversity fuels the success of our organization. In your cover letter or during your interview, we invite you to share how your background, beliefs, and experience prepare you to work in an environment that values diversity and is committed to equity and inclusion. Learn more about HCI’s commitments at huntsmancancer.org/edi

This position is considered Category I: Mandatory and required on campus or health care facilities to support on-site operations. Employees hired into this category will be required to be physically located at HCI if they are healthy and without COVID -19 symptoms.

Responsibilities

Responsibilities:

1.Assist in the design of genomics experiments with proper controls and statistical power.

2.Perform Quality Control analyses of next-generation sequencing data.

3.Create and modify scripts to align and parse data generated by high throughput sequencing experiments (e.g. ChIP-seq, RNA -seq, bisulfite sequencing, and targeted gene sequencing).

4.Create and maintain databases for data management.

5.Implement different statistical methods to identify significant associations, including both parametric and non-parametric methods (e.g. linear regression, robust linear regression, t-test, ANOVA , Kaplan–Meier log-rank test, Cox proportional hazards test, Mann–Whitney U test, Kolmogorov–Smirnov test).

6.Create graphs and data visualization strategies that enable interpretation of results.

7.Manage the sharing of results and data with collaborators in a cloud-based bioinformatics platform.

8.Communicate results and discoveries by presenting in lab meetings, presenting at conferences, and publishing papers.

Minimum Qualifications

This position requires familiarity with standard statistical analysis procedures with a minimum of a BS degree in statistics, biostatistics, or a related field; General programming skills or familiarity with at least one statistical programming language such as SAS or R with the ability to independently gain new skills and solve difficult programming challenges; Experience with Microsoft Office (Word, Excel, PowerPoint) is necessary; An ability to work on several projects simultaneously and manage deadlines, and good communication skills.

Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.

Preferences

1.A Bachelor’s of Science degree in Bioinformatics, Biostatistics, Computational Biology, Statistics, Computer Science or related field; an MS or PhD is preferred

2.General programming skills, including experience with Unix and a scripting language such as Perl or Python

3.Experience with the R software package

4.Experience with high performance computing (utilizing a compute cluster with multiple nodes)

5.Knowledge of molecular biology

6.Demonstrated ability to analyze and interpret genomics data

7.Demonstrated ability to independently gain new skills and solve problems

8.Fluency in written and spoken English

Experience with genomic data analysis, high performance (cluster) computing, and cloud computing/container-based virtualization (Docker, Singularity) is an advantage.

Type Benefited Staff

Special Instructions Summary

Please attach: Cover Letter, Resume, Contact information for 3 References

Additional Information

The University of Utah is an Affirmative Action/Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, University of Utah policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law.

To inquire about this posting, email: employment@utah.edu or call 801-581-2300. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities. To request an accommodation or for further information about University AA/EO policies, please contact the Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Cr., Rm 135, (801) 581-8365 (V/ TDD ), email: oeo@umail.utah.edu .

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 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.

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