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Bioinformatics Machine Learning Internship Jobs in Cleveland, OH

... machine design experience (entry-level candidates with strong internships considered ... Adaptability * Continuous learning Performance Expectations * Deliver high-quality mechanical ...

Skills: * High learning agility with a strong interest in procurement, supplier management ... Co-op, internship, or academic project experience in Purchasing, Supply Chain, Manufacturing ...

Gather and analyze process steps, labor content, machine cycle times, setup times, and material ... Prior internship, co-op, shop, or manufacturing experience is a plus. Learning Opportunities * Gain ...

Internship will be 4 - 20 weeks long and can only commence within 180 days before leaving active ... Familiarity with manufacturing processes such as machining - milling, turning, grinding, and ...

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Bioinformatics Machine Learning Internship information

See Cleveland, OH salary details

$24.7K

$41.3K

$85.3K

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

As of Aug 9, 2026, the average yearly pay for bioinformatics machine learning internship in Cleveland, OH is $41,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 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 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 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 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 Cleveland, OH? The most popular types of Bioinformatics Machine Learning jobs in Cleveland, OH are:
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What cities near Cleveland, OH are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Cleveland, OH with the most Bioinformatics Machine Learning Internship job openings:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Cleveland, OH as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.

Mechanical Engineer

IC Automation

Solon, OH โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

Position Summary
The Mechanical Engineer is responsible for designing, developing, and supporting custom automation equipment, robotic systems, and manufacturing machinery from concept through installation. This position works closely with controls engineers, electrical technicians, project managers, manufacturing, and customers to deliver innovative, reliable, and cost-effective automation solutions.
The ideal candidate is hands-on, detail-oriented, and enjoys solving challenging manufacturing problems while working in a fast-paced project environment.
Primary Responsibilities
  • Design custom automation equipment and robotic systems using 3D CAD software.
  • Develop complete machine layouts, assemblies, and manufacturing drawings.
  • Design robotic cells, machine tending systems, conveyors, material handling systems, fixtures, end-of-arm tooling (EOAT), safety guarding, structural weldments.
  • Perform tolerance stack-up and mechanical calculations.
  • Review customer specifications and support project estimating.
  • Coordinate engineering activities with project managers.
  • Release manufacturing drawings and Bills of Materials (BOMs).
  • Support procurement, fabrication, assembly, debug, and machine runoff.
  • Participate in customer design reviews, FATs, SATs, installations, and commissioning.
  • Develop engineering standards and continuously improve design practices.
Required Qualifications
  • Bachelor's Degree in Mechanical Engineering or Mechanical Engineering Technology.
  • 2-10+ years of machine design experience (entry-level candidates with strong internships considered).
  • Proficiency with Inventor, SolidWorks or similar 3D CAD software.
  • Knowledge of pneumatics, bearings, gearboxes, servo applications, linear motion systems, and structural design.
  • Strong communication, organization, and problem-solving skills.

Preferred Qualifications
  • Experience with FANUC, ABB, or collaborative robots.
  • Experience designing EOAT, conveyors, fixtures, machine tending systems, and automation equipment.
  • Knowledge of GD&T, machine safety standards, PDM systems, and FEA or motion simulation.

Key Competencies
  • Mechanical aptitude
  • Creative problem solving
  • Attention to detail
  • Initiative
  • Team collaboration
  • Customer focus
  • Time management
  • Adaptability
  • Continuous learning
Performance Expectations
  • Deliver high-quality mechanical designs on schedule.
  • Produce accurate manufacturing documentation.
  • Collaborate effectively with engineering and manufacturing teams.
  • Design reliable, serviceable, and cost-effective automation systems.
  • Support startup and customer acceptance activities.
  • Contribute to continuous improvement while demonstrating Integrity, Innovation, Commitment, and Teamwork.