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Bioinformatics Machine Learning Internship Jobs in Detroit, MI

Lifelong Learning

Special Education Teacher

Pontiac, MI · On-site

$51K/yr

The Learn4Life Advantage Our personalized learning model is what makes Learn4Life unique. Our ... Eligibility to obtain a teaching permit or teaching internship * Proficient in Microsoft Office ...

TRG

Vehicle Cost Engineer

Auburn Hills, MI · On-site

DRIVELINE - Axles, Transfer Case, Assembly, Casting, Machining, Forging, Halfshaft, Rear Drive Unit ... Comfort learning and using standardized cost models, formulas, and tools (prior formal costing ...

Magna

Intern, Environmental Health & Safety

Highland Park, MI · On-site

$14.50 - $19.75/hr

... machine guarding hazards. * Assist with incident investigations, injury reporting, workers ... LEARNING OPPORTUNITIES This internship offers exposure to: * Occupational health and safety ...

Truck Hero

Engineering Co-Op Student

Ann Arbor, MI · On-site

$16.75 - $21.50/hr

Prototype Fabrication - Utilize onsite machine shop and equipment, including 3D printers, CNC Mill ... the learning experience. * Excellent communication skills (verbal, written, and presentation)

RealTruck

Engineering Co-Op Student

Ann Arbor, MI · On-site

$16.75 - $21.50/hr

Prototype Fabrication - Utilize onsite machine shop and equipment, including 3D printers, CNC Mill ... the learning experience. * Excellent communication skills (verbal, written, and presentation)

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All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Internship JobsBioinformatics Machine Learning Internship Jobs in Detroit, MI

Bioinformatics Machine Learning Internship information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

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

As of Aug 11, 2026, the average yearly pay for bioinformatics machine learning internship in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 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 popular job titles related to Bioinformatics Machine Learning Internship jobs in Detroit, MI? For Bioinformatics Machine Learning Internship jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Detroit, MI look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Detroit, MI 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 Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,156 per year, or $20.3 per hour.

2026 Fall Intern - Research & Development

General Motors

Warren, MI • On-site

$14 - $18.75/hr

Full-time

Re-posted 29 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,274 frontline employees who took The Breakroom Quiz

Job description

Job Description
GM does not provide immigration-related sponsorship for this role.
Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business].
The start date for this internship is September 7, 2026.
The Team
At GM, we craft products people crave and experiences they never forget. It all starts with research and development. We are looking for R&D Interns to craft, design, and develop groundbreaking concepts and technologies that will help shape the future of mobility.
In this internship, you will plan and execute collaborative research across advanced engineering, systems optimization, autonomy, safety, manufacturing, and power electronics. Projects may include component analysis and application of AI tools, systems optimization and use of agentic systems, evaluation of multi-modal command recognition approaches for off-road autonomy, comparison of human body models for injury severity prediction, and development of next-generation electrical power devices and switching technologies.
You will work with technical leaders across GM Research and Development to explore innovative approaches that combine engineering fundamentals with AI, modeling, simulation, controls, robotics, and advanced electronics. Our culture of innovation gives you the opportunity to contribute to impactful research, support development of advanced technical solutions, and help shape future vehicle, mobility, and engineering capabilities.
What You Will Do
  • Conduct research and/or experiments to collect required data and validate research ideas
  • Apply engineering, computational, and AI-based methods to challenging research problems across multiple technical domains
  • Develop AI/ML models and algorithms for simulation tools and workflows supporting component analysis, structural optimization, systems optimization, autonomous vehicles, injury prediction, or power electronics research.
  • Analyze and compare technical approaches, methods, or system architectures and provide data-driven recommendations
  • Develop reproducible test protocols, validation plans, or benchmarking approaches for research activities as needed
  • Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property
  • Develop and execute specific research plans, including concept generation, development, implementation, and validation
  • Collaborate effectively with peers, management, operations groups, and outside organizations

Required Qualifications
  • U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens
  • Must be currently enrolled in a PhD program
  • Pursuing a degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Industrial Engineering, Systems Engineering, Biomedical Engineering, Applied Mathematics, or a closely related science/engineering field
  • Strong foundation in at least one of the following areas: engineering analysis, AI/ML, optimization, robotics, simulation, controls, injury biomechanics, electric machines and drives, or power electronics
  • Programming, modeling, or simulation experience using relevant engineering or data analysis tools
  • Ability to work both independently and in teams
  • Consistently demonstrate critical thinking and strong teamwork
  • Effective verbal and written communication skills
  • Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers

What Will Give You a Competitive Advantage (Preferred Qualifications)
  • Prior research, internship, or project experience in CAE, structural optimization, engineering mechanics, systems engineering, autonomy, robotics, safety modeling, injury biomechanics, semiconductor devices, controls, electric machines and drives, or power electronics
  • Experience applying AI/ML, optimization, or agentic systems to engineering or operational problems
  • Familiarity with testing, validation, benchmarking, or evaluation of multi-modal perception or command recognition systems
  • Experience with simulation, modeling, or comparison of human body models or injury prediction methods
  • Background and experience in AI assisted topological optimization of electric machines
  • Exposure to wide bandgap semiconductors, GaN devices, switching technologies, or advanced electrical power systems
  • Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences
  • Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed
  • Demonstrates leadership in field of study, extra-curricular activities, or service organizations
  • Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights
  • Willingness to ask questions, take initiative, and be inventive
  • Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment
  • High level of integrity, ability to deal with ambiguity, and takes initiative/self-directed
  • Evidence of strong character with integrity, honesty, accountability, and trust

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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