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Machine Learning Biology Jobs in Chicago, IL (NOW HIRING)

Until

Machine Learning Engineer / Scientist

Mundelein, IL · On-site

$140K - $240K/yr

Until is a moonshot company building a "pause button" for biology. Our near-term focus is organ ... About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of ...

KenkoTech Futures

AI Scientist

Mundelein, IL · On-site

This is a rare opportunity to join an exceptionally strong research organisation working at the intersection of large-scale machine learning and modern biology. You'll collaborate with world-class AI ...

Biohub

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer learning approaches to support biological discovery. * Collaborate closely with experimental ...

Biohub

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer learning approaches to support biological discovery. * Collaborate closely with experimental ...

The University of Chicago

Staff Scientist

Chicago, IL · On-site +1

Department BSD IPP - Machine Learning About the Department The Institute for Population and Precision Health (IPPH), located in the Biological Sciences Division, will integrate a wide spectrum of ...

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

The ideal candidate will possess deep technical and biological expertise to address key liquid ... Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ...

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All JobsMachine Learning Biology JobsMachine Learning Biology Jobs in Chicago, IL

Machine Learning Biology information

See Chicago, IL salary details

$23.7K

$53.8K

$76.7K

How much do machine learning biology jobs pay per year?

As of Aug 24, 2026, the average yearly pay for machine learning biology in Chicago, IL is $53,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $62,300.00 per year, depending on experience, location, and employer.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What are the most commonly searched types of Machine Learning Biology jobs in Chicago, IL?

The most popular types of Machine Learning Biology jobs in Chicago, IL are:

What are popular job titles related to Machine Learning Biology jobs in Chicago, IL?

For Machine Learning Biology jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biology jobs in Chicago, IL look for?

The top searched job categories for Machine Learning Biology jobs in Chicago, IL are:

Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $53,763 per year, or $25.8 per hour.

Machine Learning Engineer / Scientist

Until

Mundelein, IL • On-site

$140K - $240K/yr

Full-time

Re-posted yesterday

Job description

Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we’re laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures.

To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models.

We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive.

About the Role
As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You’ll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. 
About You
  • Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology).
  • Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. 
  • Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization.
  • Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role.
  • Demonstrated ability to write modular, maintainable, and performant code in Python.
  • Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly.
  • Proficient with developer tooling, including Linux command line, Git, and shell scripting.
  • Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers.
Preferred Qualifications
  • 3+ years of relevant professional or research experience, or a PhD in a computational field.
  • Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. 
  • Experience with cloud infrastructure (AWS, GCP) and SQL databases.
Benefits
  • Opportunity for outsized impact creating the future as an early team member
  • Generous medical, dental and vision insurance coverage
  • Flexible time off and paid holidays
  • Competitive compensation package, including salary and equity
  • 401(k) retirement savings plan
  • FSA and commuter benefits
  • Subsidized lunch daily
While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.
As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.