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Bioinformatics Machine Learning Internship Jobs in Hoffman Estates, IL

Kop-Coat, Inc.

Machine Learning Co-Op

Vernon Hills, IL · On-site

$28 - $30/hr

Prior internship, research, or applied ML project experience with measurable outcomes What You'll Gain * Ownership of real machine learning experiments with direct business visibility * Experience ...

Kasmo Global

Sr. Machine Learning Engineer

Schaumburg, IL · On-site

$103K - $141.40K/yr

I wont accept opts with internships Actalent/Peyton Hello Muni, We received a new role from Toyota. Max rate is 95/hr. Toyota Connected's Mobility team is looking for a Sr. Machine Learning Engineer ...

Capital One

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$107.60K - $147.80K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... At least 4 years of experience programming with Python, Scala, or Java (Internship experience does ...

Tempus

AI Data Science Summer Associate

Chicago, IL · On-site +1

$35/hr

Design and implement advanced machine learning models and NLP algorithms to address specific ... Bioinformatics background is not required; the role is focused on the technical application of data ...

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Bioinformatics Machine Learning Internship information

See Hoffman Estates, IL salary details

$25K

$41.8K

$86.4K

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

As of May 27, 2026, the average yearly pay for bioinformatics machine learning internship in Hoffman Estates, IL is $41,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,200.00 per year, depending on experience, location, and employer.

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 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 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 Hoffman Estates, IL? For Bioinformatics Machine Learning Internship jobs in Hoffman Estates, IL, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Hoffman Estates, IL look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Hoffman Estates, IL are:
What cities near Hoffman Estates, IL are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Hoffman Estates, IL 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 Hoffman Estates, IL as of May 2026, with employment types broken down into 3% As Needed, 82% Full Time, 9% Part Time, 3% Contract, and 3% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $41,816 per year, or $20.1 per hour.
Machine Learning Co-Op

Machine Learning Co-Op

Kop-Coat, Inc.

Vernon Hills, IL • On-site

$28 - $30/hr

Full-time

Posted 7 days ago

Job description

CoOp Student - Machine Learning & Applied AI

Location: Hybrid - Minimum 3 days per week onsite (Vernon Hills, IL)
Duration: CoOp Term (6-8 months)
Department: Automation & Emerging Technology
Reports To: Emerging Technologies Leader
Candidate Level: Bachelor's, Master's, or PhDtrack students

Position Overview

We are seeking a highly motivated Machine Learning & Applied AI CoOp Student to join our Automation & Emerging Technology team. This role is ideal for students who want handson ownership of realworld machine learning experiments in a fastmoving, startuplike environment within a large enterprise.

The coop will focus on applied machine learning, datadriven experimentation, and model evaluation, with opportunities to explore Generative AI and large language models where they meaningfully support MLdriven use cases. Rather than production maintenance or traditional automation work, this role emphasizes problem framing, experimentation, and measurable impact.

This position follows a hybrid work model, with a minimum of three (3) days per week onsite at our Vernon Hills, IL office.

Key Responsibilities

  • Lead machine learning experiments endtoend, including:
    • Problem definition and hypothesis development
    • Data exploration and feature engineering
    • Model prototyping, training, and evaluation
    • Iteration based on quantitative results
  • Develop and evaluate ML models using enterprise datasets for use cases such as:
    • Prediction and classification
    • Pattern detection and insight generation
    • Decision support and optimization
  • Apply sound experimental design and evaluation techniques, including:
    • Train/validation/test strategies
    • Baseline comparisons
    • Error analysis and model diagnostics
  • Use Databricks for data analysis, experimentation, and scalable ML workflows
  • Define and track success metrics, such as:
    • Model accuracy, precision/recall, and robustness
    • Latency, scalability, and cost considerations
    • Business relevance and usability
  • Explore applied AI techniques, including Generative AI and LLMs, where appropriate (e.g., summarization, knowledge retrieval, or hybrid ML + LLM solutions)
  • Document experiments, assumptions, results, and technical tradeoffs; present findings and demos to technical and business stakeholders
  • Apply Responsible AI and data governance practices, including data privacy, security, and bias awareness

Required Qualifications

  • Currently enrolled in a Bachelor's, Master's, or PhDtrack program in Computer Science, Data Science, Machine Learning, Statistics, or a related field
  • Ability to work onsite in Vernon Hills, IL at least three days per week
  • Strong proficiency in Python
  • Solid understanding of core machine learning concepts, such as:
    • Supervised and unsupervised learning
    • Feature engineering
    • Model evaluation and validation
  • Experience with common ML/data libraries (e.g., pandas, NumPy, scikitlearn, or similar)
  • Experience with AI Tools like Copilot, Copilot GitHub etc.
  • Ability to work independently, take initiative, and operate effectively in ambiguous problem spaces
  • Strong analytical thinking and communication skills

Preferred Qualifications

  • Handson experience with endtoend ML projects, including experimentation and evaluation
  • Familiarity with Databricks or similar data/ML platforms
  • Exposure to cloudbased ML workflows (Azure preferred)
  • Experience with deep learning or NLP frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
  • Working knowledge of Generative AI or LLMs as an applied technique (not required)
  • Prior internship, research, or applied ML project experience with measurable outcomes

What You'll Gain

  • Ownership of real machine learning experiments with direct business visibility
  • Experience working in a startuplike, experimentdriven environment inside a large enterprise
  • Handson exposure to enterprisescale data and ML workflows using Databricks and Microsoft platforms
  • Mentorship from experienced AI and Emerging Technology leaders
  • Strong preparation for fulltime roles in Machine Learning Engineering, Applied Data Science, or AI Engineering

Salary Target Range: $28/hr-$30/hr 

Rust-Oleum is an equal opportunity employer. Employment selection and related decisions are made without regard to sex, race, age, disability, religion, national origin, color, or any other protected class.

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