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

KenkoTech Futures

AI Scientist

Mundelein, IL · On-site

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

The University of Chicago

Staff Scientist

Chicago, IL · On-site +1

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 ...

Until

Machine Learning Engineer / Scientist

Mundelein, IL · On-site

$140K - $240K/yr

Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology). * Excellent foundations in the mathematics that underlies machine learning ...

Allergan

Senior Manager, Data Science

Chicago, IL · On-site

$142 - $209/hr

Qualifications Education & Experience Must have MS in statistics, biostatistics, computer science ... expertise in biology & clinical trial domains to effectively guide decisions in clinical ...

New

AbbVie

Senior Manager, Data Science

North Chicago, IL · Hybrid

$142K - $208K/yr

Qualifications Education & Experience Must have MS in statistics, biostatistics, computer science ... expertise in biology & clinical trial domains to effectively guide decisions in clinical ...

AbbVie

Senior Manager, Data Science

North Chicago, IL · On-site

$142K - $208K/yr

Qualifications Education & Experience Must have MS in statistics, biostatistics, computer science ... expertise in biology & clinical trial domains to effectively guide decisions in clinical ...

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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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 24, 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 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 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 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 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.

Autonomous Infrastructure and Robotic Science Lead

Argonne National Laboratory

Lemont, IL • On-site

Full-time

Re-posted 7 days ago

Job description

The Computing, Environment, and Life Sciences (CELS) Directorate seeks an outstanding scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data infrastructure, and domain science. The candidate will have established expertise across automated and autonomous experimental platforms and AI in addition to leadership of multi-disciplinary research programs and the development of novel research concepts.
The scientist will lead Argonne's Rapid Prototyping Laboratory (RPL), a team of computer scientists, roboticists, data scientists, and subject matter experts, who develop hardware and software infrastructure for laboratory autonomy, support autonomous laboratories in domains including chemistry, biology, and quantum science, work with domain scientists to execute autonomous experiments, and advance laboratory autonomy and robotics.
RPL develops the open-source Modular Autonomous Discovery for Science (MADSci) software framework for the orchestration of autonomous laboratories in addition to software infrastructure supporting the operation, training, and execution of robotic workflows. The scientist would be responsible for directing activities towards the advancement of these internal capabilities in addition to the support and development of collaborations across Argonne and beyond.
Focus Areas (expertise in one or more is highly desirable):
  • Autonomous laboratories for chemistry, materials, biology, etc.
  • AI/ML for predictive modeling and inverse design
  • Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery
  • Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous research
  • Digital twins and simulation-augmented AI tools

Key Responsibilities:
  • Evaluate the performance of assigned staff; recommends professional development, salary actions, and promotions
  • Play a key role in the recruitment and selection of high-quality staff
  • Report on research progress and new initiatives to division management, review committees, and funding agencies
  • Provide supervisory oversight including developing, motivating, and leading a team of professionals
  • Guide the development of infrastructure for laboratory autonomy including physical autonomous laboratories, robotics laboratories, and software frameworks for autonomous science and robotics
  • Facilitate collaborations between the RPL and teams at partner institutions developing autonomous science and robotics infrastructure
  • Guide the RPL team towards the advancement of laboratory autonomy and robotics
  • Publish in refereed journals and present at conferences, symposia, and seminars
  • Provide work direction, supervisory oversight, and mentorship, including development and motivation, to postdoctoral appointees, research assistants, students, and professional technical staff
  • Execute all activities in compliance with Argonne's ES&H policies, Safeguards and Security policies, work rules, and safe practices

About Argonne and the Rapid Prototyping Lab:
  • Argonne National Laboratory is a U.S. Department of Energy multidisciplinary science and engineering research center, operated by UChicago Argonne, LLC. Argonne tackles the largest scientific and engineering challenges of our time, from clean energy and advanced materials to artificial intelligence and quantum information science.
  • The Rapid Prototyping Lab (RPL), in the Data Science and Learning division, develops integrated hardware and software solutions to accelerate scientific discovery through robotics and AI. RPL serves as a software and robotics hub where scientists collaborate, train the next-generation autonomous-discovery workforce, and develop open-source infrastructure for self-driving labs. RPL projects span new materials for energy storage, discovery of antimicrobial compounds, isotope production for medical applications, and more.
  • MADSci is RPL's flagship open-source software ecosystem and a core enabling technology for Argonne's broader Autonomous Discovery initiative, which aims to transform laboratory science by combining robotics, AI, and simulation to design, execute, and learn from experiments at unprecedented scale.

For more information:
  • Rapid Prototyping Lab: https://rpl.cels.anl.gov/
  • Autonomous Discovery at Argonne: https://www.anl.gov/autonomous-discovery
  • MADSci on GitHub: https://github.com/AD-SDL/MADSci
  • AD-SDL organization on GitHub: https://github.com/AD-SDL

Position Requirements
  • Minimum of a Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field and 4+ years of experience, or equivalent
  • Proven research track record in deploying automated and autonomous platforms and AI/ML towards accelerating science
  • Demonstrated ability to formulate scientific problems relevant to the DOE portfolio
  • Strong oral and written communication skills, with the ability to work effectively with internal and external collaborators to achieve established goals
  • Demonstrated ability to collaborate in a multidisciplinary environment and provide scientific guidance to a diverse research community
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork
  • Preferred experience leading and/or managing others from students to professional staff

Submit the following materials as attachments to your application:
  • Cover letter detailing how your experience and expertise align with and will contribute to this position
  • Curriculum vitae with publication list and contact information for three professional references
  • 1-page research statement outlining proposed research directions

Job Family
Research Development (RD)
Job Profile
Computational Science Leader 1
Worker Type
Regular
Time Type
Full time
The expected hiring range for this position is $148,125.00 - $231,075.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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