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Bioinformatics Machine Learning Internship Jobs in Utah

... machine learning, or data analysis. * Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics. * Prior internships/full-time roles ...

Intern - Machining

Ogden, UT · On-site

$24.04/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Job Type Full-time, Internship Description ABOUT US : Namify is in the business of belonging. For ... Comfortable learning new software and technologies. * Basic computer proficiency, including ...

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Intern - Machining

Ogden, UT · On-site

$13.94/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

... machine learning, or data analysis. * Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics. * Prior internships/full-time roles ...

This temporary internship runs through the end of October and provides hands-on experience with ... Comfortable learning new software and technologies. * Basic computer proficiency, including ...

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Bioinformatics Machine Learning Internship information

What is a Bioinformatics Machine Learning Internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What are the key skills and qualifications needed to thrive as a Bioinformatics Machine Learning Intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a Bioinformatics Machine Learning Intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Utah? The most popular types of Bioinformatics Machine Learning jobs in Utah are:
What cities in Utah are hiring for Bioinformatics Machine Learning Internship jobs? Cities in Utah with the most Bioinformatics Machine Learning Internship job openings:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Utah as of July 2026, with employment types broken down into 28% As Needed, 59% Full Time, 10% Part Time, 1% Contract, 1% Nights, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Post Doctoral Fellow (E)

Post Doctoral Fellow (E)

University of Utah

Salt Lake City, UT

$47K - $64K/yr

Full-time

Retirement

Posted 20 days ago


University Of Utah rating

7.1

Company rating: 7.1 out of 10

Based on 158 frontline employees who took The Breakroom Quiz

362nd of 553 rated colleges and universities


Job description

Details
Open Date 07/07/2026 Requisition Number PRN45569B Job Title Post Doctoral Fellow (E) Working Title Post Doctoral Fellow in Clinical Prediction and Epidemiology of Diarrheal Diseases Career Progression Track A00 Track Level 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 00235 - Infectious Disease Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 63,480 to 77,076 Close Date 10/08/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
The Leung lab (www.globalguthealth.org) in the Division of Infectious Diseases at the University of Utah School of Medicine is seeking a postdoctoral fellow to work on clinical, translational, and epidemiological projects relating to diarrheal diseases, focusing on the development of diagnostic and prognostic clinical prediction rules to improve the management of diarrheal illness. The position may involve international travel to work in collaboration with scientists in lower- and middle-income countries in Africa and Asia. Many opportunities for collaborations, and a mentorship team with clinical, epidemiological, machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID (R01AI135114), though opportunities for additional projects in other areas are available according to the candidate's interest. Mentorship will be provided jointly by Dr. Daniel Leung and Dr. Ben Brintz
The University of Utah is located in Salt Lake City, which has been named one of the top 10 mid-sized American cities. The city is a thriving hub for innovation and the arts. Salt Lake City is surrounded by the Wasatch Mountains, which offer ample opportunity for outdoor adventure, including nine ski resorts within an hour of campus. As a university, we are committed to supporting our faculty, staff, and students to lead balanced lives, while achieving success in their professions. We aim to create a space that is safe and welcoming for all, and where all employees are meaningfully engaged and have equal opportunity to succeed.
Interested applicants should submit a personal statement, CV, and names of 3 references through the application portal.
Responsibilities
Work on clinical, translational, and epidemiological projects relating to diarrheal diseases, focusing on the development of diagnostic and prognostic clinical prediction rules to improve the management of diarrheal illness. The position may involve international travel to work in collaboration with scientists in lower- and middle-income countries in Africa and Asia. Many opportunities for collaborations, and a mentorship team with clinical, epidemiological, machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID (R01AI135114), though opportunities for additional projects in other areas are available according to the candidate's interest.
Minimum Qualifications Preferences
Experience in bioinformatics would be beneficial, though not essential. Candidates must possess excellent verbal and written communication skills.
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 possess a strong commitment to improving access to higher education.
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.
Consistent with state and federal law, the University of Utah 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 Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.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.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850