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Freelance Bioinformatics Machine Learning Jobs in Utah

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 ...

Employia

Software Engineer (New Grad)

Salt Lake City, UT · On-site

$90K - $160K/yr

By combining laboratory automation, immune profiling, data infrastructure, and machine learning ... Biology or bioinformatics experience is not required; the team can teach the domain if you bring ...

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Freelance Bioinformatics Machine Learning information

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

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 Freelance Bioinformatics Machine Learning jobs in Utah?

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

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

The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Utah are:

What cities in Utah are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities in Utah with the most Freelance Bioinformatics Machine Learning job openings:

Freelance Bioinformatics Machine Learning jobs near you

Clinical Laboratory Bioinformatics Medical Director - Rank Dependent on Qualifications

University of Utah

Salt Lake City, UT • On-site

Full-time

Retirement

Re-posted 9 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

390th of 630 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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