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Bioinformatics Machine Learning Internship Jobs in Detroit, MI

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Applied Scientist Intern

Ann Arbor, MI

$14.75 - $19.50/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson ...

Socket.dev

Junior AI/ML Engineer

Auburn Hills, MI · On-site

Exposure to machine learning through coursework, internships, or projects * Proficiency in Python; familiarity with common ML libraries * Willingness to work across data, modeling, and software ...

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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 Sep 12, 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 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 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $42,156 per year, or $20.3 per hour.

Calibration Process Data Science Intern (8 months/40 hours per week)

Farmington Hills, MI • On-site

Bosch Group
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees
Learn more about Bosch Groupexternal

Internship

Medical, Life, Retirement, PTO

Posted 12 days ago

Key responsibilities

  • Support the collection, cleaning, and analysis of large datasets to identify patterns and insights.

  • Develop and implement machine learning models and algorithms to address automotive powertrain problems.

  • Document methodologies, analyze results, and communicate findings to technical and non-technical audiences.

Bosch rating

7.4

Company rating: 7.4 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

Job description

Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let's grow together, enjoy more, and inspire each other. Work #LikeABosch
  • Reinvent yourself: At Bosch, you will evolve.
  • Discover new directions: At Bosch, you will find your place.
  • Balance your life: At Bosch, your job matches your lifestyle.
  • Celebrate success: At Bosch, we celebrate you.
  • Be yourself: At Bosch, we value values.
  • Shape tomorrow: At Bosch, you change lives.

Come Join us in Farmington Hills, MI and learn how we work #LikeABosch!
If you'd like to learn more about Bosch, click here:
Bosch Mobility / Let's shape a new era of mobility. Together. / Careers at Bosch USA
Bosch / Invented for Life / Careers at Bosch USA
Job Description
The internship will be from either January - August 2027, or May - December 2027.
This internship takes place in Farmington Hills, Michigan, the headquarters of Bosch North America, in the Calibration Engineering group of Power Solutions.
The successful candidate will be given an 8 -month project, that has been defined in advance by their Engineering Mentor.
As a Data Science Intern at Bosch, you will have the opportunity to work on innovative projects and gain hands-on experience in the field of data science focused on automotive applications. You will be part of a dynamic team, supporting experienced data scientists and engineers to solve real-world automotive powertrain problems using advanced analytics and machine learning techniques. Your responsibilities may include:
  • Data Exploration and Analysis: Collect, clean, and analyze large and complex datasets to identify patterns, trends, and insights. Apply statistical methods and data visualization techniques to communicate findings effectively.
  • Machine Learning Development: Develop and implement machine learning models, algorithms, and statistical techniques to solve specific business challenges. This may involve tasks such as data preprocessing, feature engineering, model training, and evaluation.
  • Predictive Modeling and Optimization: Build predictive models to forecast future outcomes and optimize business processes. Apply regression, classification, clustering, and other machine learning techniques to solve problems related to demand forecasting, anomaly detection, quality improvement, etc.
  • Data Mining and Pattern Recognition: Discover meaningful patterns, correlations, and relationships in large datasets. Use techniques like association rules, clustering, and dimensionality reduction to uncover insights and generate actionable recommendations.
  • Collaborative Problem-Solving: Work closely with cross-functional teams, including business stakeholders and software developers, to understand requirements and develop data-driven solutions. Collaborate effectively, share knowledge, and contribute to the overall success of the projects.
  • Documentation and Reporting: Document methodologies, algorithms, and results in a clear and concise manner. Prepare reports and presentations to communicate findings and recommendations to both technical and non-technical audiences.
  • Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Actively participate in training programs, workshops, and knowledge-sharing activities to enhance your skills and expertise.

If you're interested to work in a collaborative, learning culture where interns work on meaningful projects, join our team!
Qualifications
  • Must be currently enrolled in an accredited university and pursuing a Bachelors or Masters degree in Engineering, with at least one semester completed
  • Very good Python skills
  • Has experience with Artificial Intelligence and Machine Learning algorithms (work or academic)
  • 1+ year academic or industry experience with software languages and operating systems.
  • A minimum 3.0 GPA
  • Must be a minimum of 18 years of age
  • Must work 35-40 hours per week

Preferred Qualifications
  • Automotive-related hobby and/or experience working with engines or vehicles.
  • Projects in automotive field
  • Other programming languages

Additional Information
Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.
Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!
Equal Opportunity Employer, including disability / veterans
*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

What Bosch employees say

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About Bosch

Sourced by ZipRecruiter

Bosch is a renowned multinational company based in Farmington Hills, Michigan. Associated with the industrial technology, consumer goods, and building technology sectors, Bosch is an iconic name in the global market. In addition to its high-quality product roster, which is chiefly characterized by home appliances, power tools, automotive parts, and smart home items, it offers unparalleled services in the realms of software and business process outsourcing. Founded by Robert Bosch in Stuttgart, Germany in 1886, the company has stayed true to its core values of superior quality and innovation.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Farmington Hills, MI, US

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