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Bioinformatics Machine Learning Internship Jobs in Cincinnati, OH

Ohio Cat

Parts Warehouse Paid Internship

Walton, KY

Description Find YOUR fit at Ohio Cat (A Division of Ohio Machinery Co.)! Join a winning culture ... Must have a strong capacity for learning and be career oriented. * Ability to work individually or ...

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All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Internship JobsBioinformatics Machine Learning Internship Jobs in Cincinnati, OH

Bioinformatics Machine Learning Internship information

See Cincinnati, OH salary details

$24.5K

$40.9K

$84.4K

How much do bioinformatics machine learning internship jobs pay per year?

As of Aug 26, 2026, the average yearly pay for bioinformatics machine learning internship in Cincinnati, OH is $40,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,100.00 per year, depending on experience, location, and employer.

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 Cincinnati, OH?

The most popular types of Bioinformatics Machine Learning jobs in Cincinnati, OH are:

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Cincinnati, OH?

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

What job categories do people searching Bioinformatics Machine Learning Internship jobs in Cincinnati, OH look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Bioinformatics Machine Learning Internship jobs?

Cities near Cincinnati, OH 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 Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,858 per year, or $19.6 per hour.

Director, Machine Learning-Artificial Intelligence

Archer Daniels Midland

Erlanger, KY • On-site

Full-time

Posted 6 days ago

ADM rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

76th of 366 rated logistics

Job description

Director, Machine Learning-Artificial Intelligence, Archer Daniels Midland Company, Erlanger, KY.
Provide guidance and hands-on development of machine learning solutions supporting data science
initiatives leveraging the Azure ecosystem and partner integrations. Research, design, implement, and
deploy full-stack scalable artificial intelligence and machine learning solutions to address various business
challenges. Design and develop immersive and interactive AR, VR, and XR applications that meet project
specifications and user requirements, while ensuring high performance, scalability, and usability. Design
and develop Generative AI solutions using fine-tuning, embeddings, with commercial and open-source
large language models. Lead the development of artificial intelligence initiatives in an environment rich in
complex biological, environmental, operational, and business data. Establish and manage collaborations
engaging business units to develop novel data analytic approaches and integrated decision science
solutions. Evaluate in-depth market analysis and drive the business case for optimization of existing
products and creation of next generation AI products. Support the development of AI product roadmaps
and timelines.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Bachelor's degree or foreign equivalent degree in Machine Learning, Data Science, Statistics, Applied
Mathematics, Physics, Computer Science, Bioinformatics, Business Analytics, or a related field, and seven
(7) years of post-bachelor's, progressive, related work experience.
Must have five (5) years of experience with/in:
Applying artificial intelligence, machine learning, and architecture skills to solve commercial,
financial, and manufacturing problems;
Machine learning techniques (e.g., clustering, decision tree learning, and/or artificial neural
networks) and Machine Learning lifecycle from beginning to end;
Working with enterprise scale databases, with demonstrated ability to navigate ambiguous
architectures and data sources;
Azure cloud services;
Database (SQL) knowledge, database management, business intelligence, enterprise performance
management, data mining, and systems administration;
Expertise in middle tier/backend technologies such as .NET, relational and/or non-relational
(NoSQL) databases, web services, and RESTful concepts; and
Working knowledge of BI Governance, Data Governance, Master Data Management, and Data
Quality Management.
50% telecommuting permitted.
To apply, mail resume to: Christina Hetzer, ADM; PO BOX 1470, Decatur, IL 62525 (reference: KY0130)

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