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Bioinformatics Machine Learning Internship Jobs in Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

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

... machine learning systems extract from published legal materials. This role is ideal for law ... Why Complete An Internship at Filevine? * Gain hands-on experience working at the intersection of ...

... machine learning systems extract from published legal materials. This role is ideal for law ... Why Complete An Internship at Filevine? * Gain hands-on experience working at the intersection of ...

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 ...

Showing results 21-40

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 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 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.

Post Doc Res Assoc

University of Utah

Salt Lake City, UT • On-site

$65K - $73K/yr

Full-time

Retirement

Re-posted 11 days ago


University Of Utah rating

7.2

Company rating: 7.2 out of 10

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Job description

Announcement
Details
Open Date
03/27/2026
Requisition Number
PRN44612B
Job Title
Post Doc Res Assoc
Working Title
Post Doc Res Assoc
Career Progression Track
A00
Track Level
P4 - Advanced, P3 - Career, P2 - Developing, P1 - Entry Level Pro
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
01502 - Department of Biochemistry
Location
Campus
City
Salt Lake City, UT
Type of Recruitment
External Posting
Pay Rate Range
$65,600 to $73,136
Close Date
08/26/2026
Priority Review Date (Note - Posting may close at any time)
Job Summary
The Ho lab at the University of Utah is launching an ambitious program to systematically discover, map, and therapeutically harness mitochondrial microproteins to reverse mitochondrial dysfunction in rare and common disease. Microproteins encoded by small open reading frames (smORFs) are an enormous, largely uncharted space of short proteins that regulate core aspects of mitochondrial metabolism, import, and stress responses, and represent a new class of therapeutic targets. Building on our leadership in microprotein discovery and function, we are now expanding in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome.
Responsibilities
Scientific vision
Ribosome profiling has uncovered nearly 10,000 human microproteins, yet fewer than 1% are functionally characterized, and a substantial fraction appear to localize to mitochondria ("mito-MPs"). Our long-term goal is to:
  • Create a comprehensive, experimentally validated functional atlas of mitochondrial microproteins
  • Reverse mitochondrial dysfunction in rare mitochondrial diseases as well as common metabolic disorders

Postdocs in the lab will drive one or more of the following thrusts (projects can be tailored to your background):
  1. Mapping the mitochondrial microproteome
  2. Systems-level functional mapping of mito-MPs
  3. Hypotheses-driven interrogation of mito-MP biology
  4. AI-guided design of therapeutic microproteins

If you are excited by the idea of treating microproteins as programmable therapeutic modules and want to work at the intersection of mitochondrial biology, functional genomics, and machine learning, we would love to hear from you.
Methods and platforms in the lab
Depending on your project and interests, you will have the opportunity to work with:
  • High-throughput functional genomics: pooled CRISPR and base-editing screens, barcoded overexpression libraries, massively parallel reporter assays.
  • Advanced cell and mitochondrial biology: primary human fibroblasts, mitochondrial bioenergetics, import assays, respiratory chain phenotyping, in vivo disease models.
  • Multi-omics: single-cell and bulk transcriptomics, untargeted metabolomics, quantitative proteomics.
  • Computational and AI approaches: microprotein bioinformatics, multi-omic integration, protein language models, generative sequence design, and model interpretability (e.g., SHAP, attention mapping).

The Ho lab culture emphasizes team science, rigorous mechanistic work, and translation; you will join a collaborative network of basic and clinical partners aimed at moving microprotein discoveries toward therapeutic applications.
Ideal candidate profile
We are recruiting multiple postdocs, and strongly encourage applicants from all scientific and personal backgrounds. Ideal candidates will bring expertise in at least one of the following areas, and enthusiasm to learn across disciplines:
  • Mitochondrial biochemistry, bioenergetics, or oxidative phosphorylation.
  • Rare mitochondrial diseases or mitochondrial dysfunction in metabolic disease.
  • Mitochondrial protein import, organelle proteostasis, or quality control.
  • Functional genomics: CRISPR/Cas9 or base-editing screens, high-throughput reporter assays.
  • Single-cell or spatial transcriptomics / proteomics / metabolomics in metabolic or mitochondrial contexts.
  • Microprotein or peptide biology; therapeutic peptide, mRNA, or gene therapy development related to mitochondrial disease.
  • Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or integrative multi-omic analyses.
  • Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues.

Qualifications
  • PhD or MD-PhD in a relevant field (e.g., Biochemistry, Molecular Biology, Genetics, Systems Biology, Bioengineering, Computational Biology, Biomedical Data Science).
  • Strong publication record for your career stage and evidence of driving projects to completion.
  • Demonstrated critical and creative thinking, with the ability to formulate and test mechanistic hypotheses.
  • Independence and strong organizational skills, coupled with enjoyment of close collaboration and mentoring in a team setting.

Prior experience in every technique listed is not required; we expect you to have depth in one area and motivation to expand your toolkit in others.
What we offer
  • A highly collaborative, supportive environment spanning wet-lab, computational, and translational efforts, embedded in the Department of Biochemistry at the University of Utah.
  • Clear lines of sight to high-impact publications and therapeutic development.
  • Structured mentoring to help you define your scientific niche, build an independent research vision, and prepare competitive grant and faculty applications.
  • Access to state-of-the-art core facilities and an extensive network of international collaborators in mitochondrial biology, microproteins, and therapeutic development.

How to apply
Please email the following materials to lena@ho-lab.org with the subject line "Postdoctoral application - Microproteins & Mitochondria":
  1. CV including publication list.
  2. A 1-2 page statement of purpose describing:
    • Your past research experience.
    • How your skills intersect with our program's goals.
    • One or two scientific questions you would be excited to pursue within the themes above.
  3. Contact information for 2-3 referees.

Informal inquiries are welcome if you would like to discuss fit or project directions before applying. For more information on our work, please visit www.ho-lab.org.
Minimum Qualifications
Preferences
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 Non-Discrimination 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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