Bioinformatics Data Analyst I

Overview

On Site
USD 22.88 - 28.02 per hour
Part Time

Skills

FLSA
Recruiting
Data Management
Electronic Health Record (EHR)
Epic
Logistic Regression
Survival Analysis
Visualization
Presentations
Collaboration
Documentation
Technical Drafting
Management
Inventory
Typing
Data Analysis
Effective Communication
Software Development
Object-Oriented Programming
Java
Python
C++
Molecular Biology
Genomics
FOCUS
Data Science
Science
Biostatistics
Bioinformatics
Computer Science
Life Sciences
Analytical Skill
Data Extraction
Natural Language Processing
Machine Learning (ML)
Research
Clinical Research
Attention To Detail
Fluency
English
Human Resources
URS
HR Management
Higher Education
Health Care
Law
SAP BASIS
Reporting
Statistics

Job Details

Announcement

Details

Open Date
07/03/2025

Requisition Number
PRN16010N

Job Title
Bioinformatics Data Analyst I

Working Title
Bioinformatics Data Analyst I

Job Grade
F

FLSA Code
Administrative

Patient Sensitive Job Code?
Yes

Type
Non Benefited Staff / Student

Temporary?
No

Standard Hours per Week
19

Full Time or Part Time?
Part Time

Shift
Day

Work Schedule Summary

Monday - Friday (flexible hours)

Is this a work study job?
No

VP Area
U of U Health - Academics

Department
00255 - Radiation Oncology Som

Location
Campus

City
Salt Lake City, UT

Type of Recruitment
External Posting

Pay Rate Range
22.88 - 28.02

Close Date
08/30/2025

Priority Review Date (Note - Posting may close at any time)

Job Summary

We are seeking a highly motivated Data Scientist/Biostatistician with strong analytical skills and an interest in cancer research. The successful candidate will support innovative research focused on understanding and improving cancer outcomes in rural and urban populations utilizing large national datasets such as NHANES, NHIS, BRFSS, HINT survey, along with data from institutional Electronic Medical Records (EMR). Our multidisciplinary research will focus on mental health and rural populations, but will also addresses crucial issues such as cognition, fatigue, obesity, relationships, finances, professional reintegration, behaviors affecting recurrence risk, and overall patient well-being. This role uniquely combines data science, biostatistics, and research coordination responsibilities, offering significant opportunities for professional growth, academic publication, and contribution to impactful patient-centered outcomes research.

Responsibilities

Essential Functions:

  • Data Management and Analysis (70%):
  • Extract, clean, and integrate datasets from institutional EMR (Epic), public datasets (eg. NHIS, BRFSS, etc), and cancer-specific resources (NCDB).
  • Conduct statistical analyses (logistic regression, survival analysis, mixed-effects models, propensity matching, etc).
  • Apply data science techniques including visualization methods.
  • Prepare clear, publication-quality reports, tables, and figures for manuscripts and presentations.
  • Interview patients to elicit their healthcare experiences and needs.

  • Research Coordination and Regulatory Support (30%):
  • Prepare and manage IRB documentation for research protocols
  • Coordinate timelines, schedule research meetings, and track project milestones.
  • Assist in manuscript preparation, including drafting methods/results sections and managing submission processes.
  • Support grant application preparation, particularly in assembling preliminary data and documents.

This job description 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 of Science degree with a focus on Bioinformatics, Biostatistics, Computer Science or Molecular Biology or equivalency (one year of education can be substituted for two years of related work experience). Two years of experience in genomic data analysis required. Demonstrated human relations and effective communication skills also required.

Software development experience in object oriented programming using Java, Python, and or C++ and familiarity with molecular biology, genomics and some biostatistics helpful.

Master of Science degree or PhD in Bioinformatics, Computer Science and/or Life Sciences preferred.

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

Preferences
  • Concurrent expertise in Data Science and Biostatistics is required.
  • Bachelor's of Science degree with a focus of Bioinformatics, Biostatistics, Computer Science or Data Science.
  • Master of Science Degree or PhD in Biostatistics, Bioinformatics, Computer Science and/or Life Sciences strongly preferred.
  • Previous experience with advanced analytic methods, data extraction, and coding.
  • Natural language processing (NLP), and machine learning abilities are a plus, but not required.
  • Experience working in cancer research or other clinical research domains.
  • Willingness and ability to learn.
  • Driven, detail oriented, independent, and a problem solver.
  • Strong fluency in English is required.
  • Strong interpersonal skills is required.
  • Residency in Utah is required.

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 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 or or University Human Resource Management at 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: ;br>Online reports may be submitted at oeo.utah.edu

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