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Flexible Computer Science Bioinformatics Jobs in Chicago, IL

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering or a related quantitative discipline. * Minimum 2 years of experience in developing bioinformatic ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering or a related quantitative discipline. * Minimum 2 years of experience in developing bioinformatic ...

PhD in Machine Learning, Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics, Physics or a related quantitative discipline * Outstanding research background in modern ...

D. in Computational Biology, Bioinformatics, Computer Science, or a closely related quantitative field. Experience: * At least one year of research experience in machine learning applied to ...

Support Scientist I - AKTA

Chicago, IL · On-site +1

$70K - $85K/yr

We recognize the benefits of flexible, remote working arrangements for eligible roles and are ... Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Master's or PhD degree in statistics, applied mathematics, financial mathematics, computer science ... Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time ...

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Flexible Computer Science Bioinformatics information

See Chicago, IL salary details

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$45

How much do flexible computer science bioinformatics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for flexible computer science bioinformatics in Chicago, IL is $44.08, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $44.33 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Chicago, IL?

The most popular types of Computer Science Bioinformatics jobs in Chicago, IL are:

Infographic showing various Flexible Computer Science Bioinformatics job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 28% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $91,682 per year, or $44.1 per hour.

Talent Community | Data Scientist

EVOZYNE INC

Chicago, IL • On-site

Full-time

Re-posted 24 days ago


Job description

Evozyne designs and builds engineered protein therapeutics using our AI-native platform, transforming what’s possible in immune-mediated disease treatment. Our Data Scientists partner closely with our research teams to transform complex experimental data into insights that guide molecule design and program strategy, turning bold ideas into therapies that can meaningfully improve patients’ lives. This posting helps us connect with candidates for future opportunities. While this listing is not tied to a current opening, we encourage you to join our talent community so we can connect with you when new roles emerge!

Key Responsibilities

  • Analyze and integrate diverse experimental datasets (e.g., sequencing, biophysical, cell-based, and functional assays) to inform therapeutic design decisions
  • Develop computational and statistical models to support protein engineering, optimization, and candidate selection
  • Design and implement workflows for data processing, visualization, and interpretation that enable rapid, high-quality decision-making
  • Partner with discovery scientists to translate biological questions into quantitative analyses and predictive approaches
  • Apply machine learning and modeling methods to improve design strategies
  • Build scalable tools and pipelines that enhance reproducibility and accessibility of experimental insights
  • Communicate findings clearly to cross-functional teams and contribute to project strategy and prioritization

Who You Are

You thrive in an early-stage start-up environment and are motivated by the opportunity to build new therapies that can transform patients’ lives. You combine agility with scientific rigor to deliver high-quality results, and you bring natural curiosity and a collaborative mindset to solving complex challenges.

Minimum Qualifications

  • Undergraduate and/or graduate level education focused on data science, computational biology, bioinformatics, computer science, machine learning, AI, or a similar field
  • Hands on experience analyzing experimental, biological, chemistry, or physics datasets (industry, startup, or academic lab)
  • Ability to understand experimental context (read protocols, interpret assay outputs) and partner effectively with experimentalists
  • Solid grasp of EDA and basic statistics (distributions, confidence intervals, hypothesis testing)