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Biology Computer Science Jobs in Chicago, IL (NOW HIRING)

Joliet Junior College

Lab Technician, Biology

Joliet, IL · On-site

$20.70 - $21.94/hr

MINIMUM QUALIFICATIONS 1. Associate's Degree or equivalent in Biological or Chemical Sciences 2. Ability to use computer technology, laboratory equipment and apparatus. 3. Attentiveness to detail ...

The University of Chicago

Staff Scientist

Chicago, IL · On-site +1

  • Medical

  • Retirement

  • PTO

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 ...

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science * In-depth knowledge of ...

Lake Ridge Schools

High School Science Teacher

Gary, IN · On-site

$44K - $57K/yr

High School Teaching/Science Date Posted: 7/21/2026 Location: Calumet New Tech High School Date ... Biology teaching credential. * Able to demonstrate effective teaching and computer skills.

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Showing results 21-40

All JobsBiology Computer Science JobsBiology Computer Science Jobs in Chicago, IL

Biology Computer Science information

See Chicago, IL salary details

$25.2K

$49.9K

$81.4K

How much do biology computer science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for biology computer science in Chicago, IL is $49,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,700.00 and $53,600.00 per year, depending on experience, location, and employer.

What types of projects do professionals in biology computer science typically work on?

Professionals in Biology Computer Science often work on projects involving the analysis of large biological datasets, such as genome sequencing, protein structure prediction, or population genetics studies. They may develop algorithms, create data visualization tools, or collaborate with laboratory researchers to interpret results. Day-to-day work often involves coding, statistical analysis, and frequent interdisciplinary meetings with biologists, bioinformaticians, and IT specialists. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and continually expand technical skills, making the field both intellectually rewarding and dynamic.

What are the key skills and qualifications needed to thrive in biology computer science?

To thrive in a Biology Computer Science role, you need a strong background in both biological sciences and computer science, often supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages (such as Python or R), data analysis software, and biological databases is essential, and specialized certifications in bioinformatics can be advantageous. Analytical thinking, attention to detail, and effective communication skills help professionals translate complex biological data into actionable insights. These capabilities enable success by bridging the gap between computational analysis and biological research, driving innovation in life sciences.

What can you do with biology and computer science?

A job in biology and computer science often involves bioinformatics, computational biology, or data analysis, where skills in programming, algorithms, and biological data interpretation are essential. Professionals can work in research, healthcare, pharmaceuticals, or environmental science, utilizing tools like Python, R, and specialized databases to analyze biological data and develop solutions.

What is a biology computer science?

A Biology Computer Science job integrates principles of biology and computational techniques to analyze biological data, develop bioinformatics tools, and solve complex biological problems. Professionals in this field may work in genomics, drug discovery, systems biology, or healthcare technology. They utilize programming, machine learning, and data analysis to interpret biological processes. Common roles include bioinformaticians, computational biologists, and biotech software developers. This interdisciplinary field is crucial for advancements in medicine, agriculture, and environmental science.

What are popular job titles related to Biology Computer Science jobs in Chicago, IL? For Biology Computer Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Biology Computer Science jobs in Chicago, IL look for? The top searched job categories for Biology Computer Science jobs in Chicago, IL are:
Biology Computer Science jobs near you
Infographic showing various Biology Computer Science job openings in Chicago, IL as of August 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $49,850 per year, or $24 per hour.

Talent Community | Data Scientist

EVOZYNE INC

Chicago, IL • On-site

Full-time

Re-posted 5 hours 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)

Apply