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Freelance Bioinformatics Machine Learning Jobs in Kentucky

Clinical Laboratory Bioinformatics Medical Director - Rank Dependent on Qualifications The ... We seek candidates with substantial experience in computational and machine learning methods as ...

New

Senior Bioinformatics Scientist, Translational Bioinformatics Full Time Hayward, CA, US About ... and machine-learning approaches for sequencing QC, variant analysis, and study-specific analyses ...

Our partner is looking for a Machine Learning (ML) AI Task Auditor - Freelance AI Trainer Project based in United States. * This freelance opportunity is designed for experienced Machine Learning ...

New

$161K - $227K/yr

As a Senior Bioinformatics Research Engineer, you will work on Freenome's computational platform ... You will develop cutting edge solutions at the intersection of machine learning, genetic sequencing ...

$110K - $120K/yr

Experience using Machine Learning/Artificial Intelligence tools in the context of Omics, single ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

$93K - $136K/yr

Design and apply novel computational methods/bioinformatics algorithms, machine learning models for building data models and tools using various software and statistical tools to aid in the analysis ...

... machine learning. The role involves working with large external biobank datasets such as All of US, eMERGE, TopMed, UK BioBank, as well internal EHR data. This Bioinformatics Research Scientist will ...

$75K - $109K/yr

Working under very general supervision, the Bioinformatics Analyst will have demonstrated ... Design and evaluate statistical and machine-learning approaches for high-dimensional biological and ...

$36K - $49K/yr

... Bioinformatics to lead integration of large-scale multi-omics datasets, including genomics ... In this role, you will employ advanced computational pipelines including machine learning ...

Familiarity with antibody repertoire bioinformatics tools. About Prellis Biologics At Prellis we integrate human biology with machine learning. We aim to revolutionize drug discovery by harnessing ...

... on advancing the application of machine learning in musculoskeletal medicine. This ... S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical ...

Experience working with machine learning frameworks and concepts * Fintech experience About partners with incredible freelance developers from across North America to build products that delight. Our ...

New

$121K - $194K/yr

... Bioinformatics, via data analysis and visualization, algorithm development, machine learning, and experimental design. * Keep abreast of and, where appropriate, apply recent advances in machine ...

$121K - $194K/yr

... Bioinformatics, via data analysis and visualization, algorithm development, machine learning, and experimental design. * Keep abreast of and, where appropriate, apply recent advances in machine ...

Develop, maintain, and optimize robust bioinformatics pipelines for the analysis of multi-omics ... Experience integrating multi-modal omics datasets and applying AI or machine learning approaches to ...

Biomedical Engineering Computer Science Data Science Bioinformatics Information Systems Related ... Learning Opportunities The intern will gain exposure to: Laboratory informatics and digital ...

New

$63K - $77K/yr

... machine learning, and statistical expertise. The position isfunded by a grant from the NIH/NIAID ... Minimum Qualifications Preferences Experience in bioinformatics would be beneficial, though not ...

$67K - $92K/yr

Strong understanding of bioinformatics tools for genomic, transcriptomic, and pathway analysis ... Familiarity with AI-assisted analytics, computational biology, or machine learning approaches ...

$63K/yr

... and Bioinformatics (GeneBio; ) is accepting applications for 1-2 fully-funded postdoctoral ... inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly ...

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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 Kentucky?

The most popular types of Bioinformatics Machine Learning jobs in Kentucky are:

What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Kentucky?

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

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

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

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

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

Clinical Laboratory Bioinformatics Medical Director - Rank Dependent on Qualifications

On-site

University of Utah
Colleges, Universities, and Professional Schools • 10K+ employees

Other

Retirement

Posted yesterday

New


University Of Utah rating

6.9

Company rating: 6.9 out of 10

Based on 161 frontline employees who took The Breakroom Quiz


Job description

Clinical Laboratory Bioinformatics Medical Director - Rank Dependent on Qualifications

The University of Utah, an AA/EO employer, encourages applications from all qualified individuals, and provides reasonable accommodation to the known disabilities of applicants and employees. The University of Utah values candidates who have experience working in settings with students, staff, faculty and patients from all backgrounds and possess a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.

Position Information

Position/Rank

Position/Rank Clinical Laboratory Bioinformatics Medical Director - Rank Dependent on Qualifications

Department

Department 00247 - Pathology

City

City Salt Lake City, UT

Track

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.

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 .

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

Open Date 07/29/2026

Close Date

Open Until Filled Yes

Requisition Number

Requisition Number PRN04094F

Type

Type Faculty

Posting Specific Questions

Required fields are indicated with an asterisk (*).

  • One measure of faculty diversity at the School of Medicine is the proportion of faculty members who come from a rural background. Did you graduate high school from a town with less than 10,000 persons?
    • Yes
    • No
Required Documents
  • Cover Letter
  • Curriculum Vitae
  • List of References
  • Optional Documents
  • Historical Only – Do Not Use – See Description for More Information – Appropriate discharge document (such as DD-2214) – Veteran Only
  • Historical Only – Do Not Use – See Document Description for More Information – Addendum to the University of Utah – Veteran Only
  • University Human Resource Management
    250 East 200 South, Suite 125 Salt Lake City, UT 84111
    Contact us: (801) 581-2169 By Email: employment@utah.edu
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    About University of Utah

    Sourced by ZipRecruiter

    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.

    Industry

    Colleges, universities, and professional schools

    Company size

    10,000+ Employees

    Headquarters location

    Salt Lake City, UT, US