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Freelance Bioinformatics Machine Learning Jobs in Ohio

The successful candidate will develop, implement, and apply computational, machine learning ... bioinformatics, computer science, pharmaceutical sciences, biophysics, chemical biology, biomedical ...

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 popular job titles related to Freelance Bioinformatics Machine Learning jobs in Ohio?

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

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

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

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

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

Infographic showing various Freelance Bioinformatics Machine Learning job openings in Ohio as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

CAS 2027 Bioinformatics Scientist Summer Intern

Columbus, OH • On-site

$14.25 - $19/hr

Part-time

Posted 14 days ago


Job description

CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for over 117 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide.
The Internship will run from May 17th, 2027, to August 6th, 2027.
Job Accountabilities:
  • Support analysis, visualization and interpretation of a drug development, medical biology, or related dataset.
    • Support harmonization, normalization, or enhancement of CAS content for delivery to products, content pipelines, or business solutions.
    • Connect across the organization through the Summer Intern Program to build influential working relationships, preparing your career for tomorrow.
    • Stay abreast of the latest trends through individual and team training opportunities.

Qualifications:
• Pursuing a degree in bioinformatics, computational biology, biostatistics, or closely related field.
• Proficiency in a high-level programming language such as R or Python within Unix-like environment.
• Strong problem-solving and critical-thinking skills.
• Excellent communication, collaboration, and data presentation skills.
• Background in molecular biology, immunology, genetics, or other relevant biomedical domains is a plus.
• Experience with technologies such as GitHub, Java, Linux, and pathway visualization software's like Pathview, GSEA is a plus.
• Experience in applying machine learning to large datasets is a plus.
• Familiarity with data modeling a plus.
• Ability to work independently as well as part of a team.
Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Minority/Female/Disabled/Veteran
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.