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Bioinformatics Machine Learning Internship Jobs in Michigan

Develops Artificial Intelligence and Machine Learning solutions to solve business problems and ... Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ...

Develops Artificial Intelligence and Machine Learning solutions to solve business problems and ... Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ...

Develops Artificial Intelligence and Machine Learning solutions to solve business problems and ... Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant ...

Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Software Engineer (E)

Ann Arbor, MI ยท On-site

$91K - $155K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Software Engineer (E)

Ann Arbor, MI ยท On-site

$110K - $188K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Software Engineer (E)

Ann Arbor, MI ยท On-site

$110K - $188K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

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Bioinformatics Machine Learning Internship information

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 Michigan? The most popular types of Bioinformatics Machine Learning jobs in Michigan are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Michigan look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Michigan are:
What cities in Michigan are hiring for Bioinformatics Machine Learning Internship jobs? Cities in Michigan with the most Bioinformatics Machine Learning Internship job openings:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Michigan as of July 2026, with employment types broken down into 28% As Needed, 60% Full Time, 8% Part Time, 2% Contract, 1% Nights, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Autonomous Driving Intern - Data, Tools & Simulation

Autonomous Driving Intern - Data, Tools & Simulation

Isuzu Motors America LLC

Plymouth, MI โ€ข On-site

$20 - $34/hr

Other

Posted 17 days ago


Job description

Isuzu Technical Center of America is seeking an Autonomous Driving Intern - Data, Tools & Simulation to join its operations in Plymouth, MI, for Summer/Fall 2026. The selected candidate will be placed with a preferred agency for employment.
JOB SUMMARY
Supports verification and validation of Level 4 autonomous driving technologies using state-of-the-art approaches and methodologies. Works closely with Isuzu US and Japan teams, leading autonomous driving partner companies, and reputed research institutes on the validation and deployment of autonomous systems. Works at the intersection of vehicle engineering and cutting-edge autonomous technology within a collaborative and passionate environment. Performs tasks of increasing complexity throughout the internship.
% of time spenton each activity
PRINCIPAL DUTIES & RESPONSIBILITIES
30%
1.
Collaborates with engineers to develop and validate related vehicular and sensory models and algorithms related to autonomous vehicle safety.
20%
2.
Assists with analysis of on-road driving data and identification of safety trends or issues.
20%
3.
Supports simulation of real-world driving scenarios to test and validate AV systems.
20%
4.
Participates in cross-functional discussions and contributes ideas toward improving safety and reliability of AV systems.
10%
5.
Prepares and communicates findings and technical updates to teams across the U.S. and Japan.
6.
Performs miscellaneous job-related duties as assigned.
ORGANIZATIONAL RELATIONSHIPS
  • Reports to: Manager, Autonomous Driving & MBD

EDUCATION, EXPERIENCE & TRAINING
  • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Engineering, Computer Science, Data Science, Robotics, or a related field
  • Academic focus or coursework in robotics systems, autonomous systems, machine learning (ML/DL/RL/VLM/LLM...), vehicle dynamics, or simulation is preferred
  • Prior internship or project experience in data analysis, programming, or automotive systems is a plus, but not required
  • Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended)

KNOWLEDGE
  • Foundational understanding of data analysis, statistics, or simulation
  • Basic knowledge of autonomous driving or vehicle safety systems is a plus

SKILLS & ABILITIES
  • Strong analytical and problem-solving skills
  • Proficiency in Python, C++, or Java
  • Familiarity with simulation or machine learning tools is a plus
  • Effective communication and interpersonal skills
  • Ability to work independently and collaboratively within a team

PHYSICAL STANDARDS
The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.