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Biomedical Machine Learning Jobs in Illinois (NOW HIRING)

Biohub

Computational Biologist

Chicago, IL · 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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Biomedical Machine Learning information

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$14

$27

$37

How much do biomedical machine learning jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for biomedical machine learning in Illinois is $27.64, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $31.20 per hour, depending on experience, location, and employer.

What is a Biomedical Machine Learning job?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a typical day look like for someone in a Biomedical Machine Learning role?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in the Biomedical Machine Learning position, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

What are the most commonly searched types of Biomedical Machine Learning jobs in Illinois? The most popular types of Biomedical Machine Learning jobs in Illinois are:
What are popular job titles related to Biomedical Machine Learning jobs in Illinois? For Biomedical Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Biomedical Machine Learning jobs in Illinois look for? The top searched job categories for Biomedical Machine Learning jobs in Illinois are:
Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in Illinois as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 83% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $57,495 per year, or $27.6 per hour.

Computational Biologist

Biohub

Chicago, IL • On-site

$130K - $163K/yr

Full-time

Retirement, PTO

Posted 26 days ago

Job description

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Team
The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies.
Our Vision
  • We pursue large scientific challenges that cannot be pursued in conventional environments
  • We enable individual investigators to pursue their riskiest and most innovative ideas
  • The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond
    Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.
The Opportunity
The Biohub Chicago is seeking an exceptional Computational Biologist, Spatiotemporal Multi-Omics to join our growing team. We are looking for a creative and collaborative bioinformatics researcher who is excited to build the analytical foundation for our spatiotemporal multi-omics technology platform.
What You'll Do
  • Develop data analysis workflows for spatiotemporal and multi-omics datasets.
  • Build visualization tools that enable exploration and interpretation of complex biological data across space and time.
  • Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer learning approaches to support biological discovery.
  • Collaborate closely with experimental scientists, communicate findings clearly, and contribute to publications, presentations, and open-source software as appropriate.
What You'll Bring
  • PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering or a related quantitative discipline.
  • Minimum 2 years of experience in developing bioinformatic methods, analysis pipelines, or software tools for biological data using appropriate programming language.
  • Minimum of 1 year of experience in at least one of the following areas: spatial data analysis, multi-omics integration, or machine learning for biological applications.
  • A strong record of research productivity, including publications, open-source contributions, or both.
  • A collaborative mindset, strong communication skills, and enthusiasm for working closely with wet-lab teams.

(Preferred)
  • 1+ year of experience with imaging mass spec (e.g., MALDI)
  • 1+ year of experience with single-cell proteomics and/or metabolomics
  • 1+ year of experience building visualization tools, or scientific software.
Compensation
The Chicago, IL base pay range for a new hire in this role is $130,000 - $163,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
Better Together
As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
Benefits for the Whole You
We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving

If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
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