Job Information
University of Utah Data Scientist/Wrangler in Salt Lake City, Utah
Details
Open Date 08/30/2024
Requisition Number PRN39732B
Job Title Data Scientist
Working Title Data Scientist/Wrangler
Job Grade H
FLSA Code Computer Employee
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Shift Day
Work Schedule Summary
VP Area President
Department 01152 - HCI Alana Welm Lab
Location Campus
City Salt Lake City, UT
Type of Recruitment External Posting
Pay Rate Range 72000 - 77000
Close Date
Open Until Filled Yes
Job Summary
The Welm Lab at the University of Utah Huntsman Cancer Institute seeks a Data Wrangler to contribute to their translational breast cancer research. The successful candidate will be responsible ensuring genomics data, laboratory assay data, and de-identified clinical data is efficiently organized and prepared for statistical analyses. They will perform data quality assessments, systematically label data, harmonize and normalize data, and integrate diverse data to produce analysis-ready datasets. This will involve developing and maintaining custom data scripts, pipelines, databases, web applications and documentation. If you have a passion for data and analytics, an eye for detail and accuracy, and you thrive in a collaborative and fast-paced environment, we look forward to hearing from you.
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
Disclaimer
This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
Work Environment and Level of Frequency typically required
Nearly Continuously: Office environment.
Physical Requirements and Level of Frequency that may be required
Nearly Continuously: Sitting, hearing, listening, talking.
Often: Repetitive hand motion (such as typing), walking.
Seldom: Bending, reaching overhead.
Minimum Qualifications:
Bachelor’s degree in computer science, mathematics, statistics, data science, data analysis or a related field and a minimum of 4 years of experience in the field or related area (one year of education can be substituted for two years of related work experience)
Experience with managing, manipulating, and analyzing large datasets
Proficiency in Unix, R, and Python
Ability to keep well-documented code while generating project deliverables on time
Excellent communication skills
Demonstrated success working in a team-oriented environment
This is a patient-sensitive position and the applicant must be willing to complete HIPAA training.
Minimum Qualifications
Bachelor’s Degree and 6-8 years of related experience in the field or related area or equivalency (one year of education can be substituted for two years of related work experience) required.
This position has no responsibility for providing care to patients.
Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.
Preferences
Preferences:
Working knowledge of data mining and statistical data analysis methods
Experience with developing, maintaining, and querying SQL databases
Ability to generate interactive visualizations using R-Shiny or similar frameworks
Experience using high performance compute clusters with attached local storage
Experience with Amazon Web Services Simple Storage Service ( AWS S3)
Experience with Cloud-based compute services such as Amazon Elastic Compute Cloud (Amazon EC2)
Experience with Cloud-based bioinformatics platforms such as Seven Bridges/Velsera, DNA Nexus, Terra
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.
