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Machine Learning Biomedical Internship Jobs in Park Ridge, IL

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra ... End-of-internship demo day * Paid vacation Compensation The pay range for this position is $35 ...

Engineering Intern / Co-op

Chicago, IL ยท On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra ... End-of-internship demo day * Paid vacation Compensation The pay range for this position is $35 ...

Engineering Intern / Co-op

Chicago, IL ยท On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra ... End-of-internship demo day * Paid vacation Compensation The pay range for this position is $35 ...

Computational Biologist

Chicago, IL ยท On-site

$130K - $163K/yr

Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer ... PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering ...

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... A highly-competitive internship compensation package * Optiver-covered flights, living ...

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... A highly-competitive internship compensation package * Optiver-covered flights, living ...

Computational Biologist

Chicago, IL ยท On-site

$130K - $163K/yr

Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer ... PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering ...

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Machine Learning Biomedical Internship information

See Park Ridge, IL salary details

$25.1K

$41.9K

$86.6K

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

As of Jul 6, 2026, the average yearly pay for machine learning biomedical internship in Park Ridge, IL is $41,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

What is a Machine Learning Biomedical Internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Intern, and why are they important?

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What types of projects do interns typically work on during a Machine Learning Biomedical Internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.
What job categories do people searching Machine Learning Biomedical Internship jobs in Park Ridge, IL look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Machine Learning Biomedical Internship jobs? Cities near Park Ridge, IL with the most Machine Learning Biomedical Internship job openings:
Data Scientist

Data Scientist

MessageControl

Chicago, IL โ€ข On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 28 days ago


Job description

Company Description
MessageControl is a cybersecurity start-up in Chicago providing human layer email and messaging security. Our innovative technology protects users from phishing, spoofing, fraud, business email compromise (BEC), and other types of attacks.
Job Description
As a Data Scientist at MessageControl you'll be building intelligent products to protect people from sophisticated email attacks. In this position, your data science expertise will help us build new features and improve our existing security products. Our transparent and collaborative culture means we work both independently and together as a team on projects in an agile environment.
What you bring to the team:
  • Partner with stakeholders across the organization to identify high-impact opportunities to use our data to further our innovative product strategy.
  • Build complex predictive models using Machine Learning and Deep Learning algorithms to substantially improve our email security tools.
  • Assess the potential usefulness and validity of new ML and DL approaches and data sources.
  • Develop proof-of-concept prototypes to prove out hypotheses.
  • Manage experience with data, including complex queries, exploratory data analysis, data visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication.
  • Help drive our data science culture and strategy.

Qualifications
Desirable Skills and Experience:
  • Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market.
  • Outstanding quantitative background (e.g. statistics, math, machine learning, operations research, etc.): Bachelors degree required, masters is a plus.
  • Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc. Prior experience using natural language processing techniques is a plus.
  • Previous software development experience is required, including usage of version control systems such as git and writing tests
  • Research mindset with a bias towards action. You are able to structure a project from idea to experimentation to prototype to implementation.
  • Must be a passionate and attentive self-starter, a great communicator, and possess the ability to follow-through initiatives to completion. You have a great work ethic and love the responsibility of being held accountable for the results.

Additional Information
Perks/Benefits:
  • Direct access to senior management - our leadership team works alongside our team members every day.
  • Comprehensive medical, dental, and vision insurance.
  • Company paid life insurance, short term disability and long term disability.
  • Flexible paid time off (PTO) policy, plus sick days.
  • Ongoing professional development opportunities by level and function.
  • Your choice of Windows or Mac laptop.
  • Onsite gym.
  • Casual dress in a fun, friendly and collaborative work environment.
  • The ability to have significant impact every day.

Location:
  • Thisposition is onsite at our office in the Chicago Loop. We're not offering remote employment at this time.