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Bioinformatics Machine Learning Internship Jobs in Utah

Medium

Bioinformatics Analyst - UT

Salt Lake City, UT · On-site

$80 - $90/hr

Experience using or interfacing with machine learning algorithms. * Experience analyzing and ... Computational biology and bioinformatics innovation. $80,000 - $90,000 a year Why Join Us

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Develop systems bioinformatics approaches including Machine Learning-based to decipher host-pathogen interaction networks in diverse Avian and HPAI strains. * Focus on system and data integration ...

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Develop systems bioinformatics approaches including Machine Learning-based to decipher host-pathogen interaction networks in diverse Avian and HPAI strains. * Focus on system and data integration ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT

$65K - $73K/yr

Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or integrative multiomic analyses. * Machine learning for biological data (e.g., protein language models ...

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

... internships, academic projects, or applied professional experience * Working knowledge of Python ... Machine Learning Frameworks #J-18808-Ljbffr

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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 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 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 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 are popular job titles related to Bioinformatics Machine Learning Internship jobs in Utah?

For Bioinformatics Machine Learning Internship jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning Internship jobs in Utah look for?

The top searched job categories for Bioinformatics Machine Learning Internship 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:

Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Clinical Laboratory Bioinformatics Medical Director - Rank Dependent on Qualifications

University of Utah

Salt Lake City, UT • On-site

Full-time

Retirement

Posted 25 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

385th of 621 rated colleges and universities

Job description

Position Information
Position/Rank Clinical Laboratory Bioinformatics Medical Director - Rank Dependent on Qualifications Department 00247 - Pathology City Salt Lake City, UT Track Track Dependent on Qualifications New Position to Begin Details
Clinical Laboratory Bioinformatics Medical Director

ARUP Laboratories, Department of Pathology, University of Utah School of Medicine
The Department of Pathology at the University of Utah School of Medicine and ARUP Laboratories invites applications from individuals interested in building an academic career in Clinical Laboratory Bioinformatics. We seek candidates with substantial experience in computational and machine learning methods as applied to clinical laboratory testing.
ARUP is a comprehensive, high-complexity national reference laboratory serving a diverse clientele that includes more than half of the nation's academic medical centers, children's hospitals, major commercial laboratories, military and government facilities, and community health systems. This broad reach has created one of the largest clinical laboratory data resources in the United States, spanning multiple disciplines, testing modalities, and patient populations.
ARUP offers a unique environment for computational pathology and laboratory data science, combining large-scale real-world clinical laboratory datasets with substantial on-premises computing infrastructure and expertise in bioinformatics, machine learning, and software development. The successful candidate will join multidisciplinary teams of pathologists, data scientists, and engineers developing, validating, and deploying new diagnostic technologies that directly impact patient care.
Applicants should hold an MD, DO, MD/PhD, DO/PhD, PhD, or equivalent doctoral degree. Physician candidates should be board-certified or board-eligible in anatomic and/or clinical pathology by the American Board of Pathology and eligible for medical licensure in Utah. PhD candidates should be board-certified or board-eligible in a clinical laboratory specialty. Additional American Board of Pathology fellowship training or subspecialty expertise will be viewed favorably, particularly in hematopathology, clinical informatics, molecular genetic pathology, and laboratory genetics and genomics. Current fellows and other trainees who will complete training before the anticipated start date are also encouraged to apply.
The successful candidate will primarily focus on research within the Institute for Research and Innovation in Diagnostic and Precision Medicine, advancing computational methods, bioinformatics, artificial intelligence, and machine learning applications in laboratory medicine. Access to ARUP's extensive laboratory data resources, bioinformatics infrastructure, and collaborative scientific environment provides exceptional opportunities to develop and deploy clinically impactful diagnostic technologies.
Clinical responsibilities are expected to comprise approximately 30% effort and may include laboratory directorship, clinical consultation, and diagnostic case signout, aligned with the candidate's training and expertise. The candidate will also contribute to the educational missions of ARUP Laboratories and the University of Utah Department of Pathology through teaching, mentorship, and scholarly activity.
Academic rank and compensation will be commensurate with the candidate's experience and accomplishments.
Interested candidates should submit electronically to: https://utah.peopleadmin.com/postings/206227
A curriculum vitae, a cover letter detailing experience and current and future interests, and the names and contact information of three individuals who could provide letters of recommendation.
Please contact Dr. David Ng (david.ng@aruplab.com) with any questions.
The University of Utah Health (U of U Health) is a patient-focused center distinguished by collaboration, excellence, leadership, and respect. U of U Health values candidates who are committed to fostering and furthering a culture of compassion, collaboration, innovation, accountability, acceptance, integrity, quality, and trust that is integral to our mission.
EEO/Non-Discrimination Information

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 https://www.utah.edu/nondiscrimination/.
Online reports may be submitted at https://oeo.utah.edu.

Notice

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.
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.

Special Instructions for Candidates Open Date 07/29/2026 Close Date Open Until Filled Yes Requisition Number PRN04094F Type Faculty

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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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Headquarters location

Salt Lake City, UT, US

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