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Scientific Software Jobs in Illinois (NOW HIRING)

Jobtailor

Senior Software Engineer

Chicago, IL · On-site

$110 - $190/hr

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience * Strong understanding of software engineering fundamentals, including object ...

Belcan Corporation

Software Engineer

Mossville, IL · On-site

$69 - $92/hr

Summary The main function of a software engineer is to apply the principles of computer science and mathematical analysis to the design, development, testing, and evaluation of the software and ...

Posted today

Belcan

Software Engineer

Mossville, IL · On-site

$58.44/hr

The main function of a software engineer is to apply the principles of computer science and mathematical analysis to the design, development, testing, and evaluation of the software and systems that ...

Belcan

Software Engineer

Mossville, IL · On-site

$58.44/hr

The main function of a software engineer is to apply the principles of computer science and mathematical analysis to the design, development, testing, and evaluation of the software and systems that ...

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Jobtailor

Software Engineer

Chicago, IL · On-site

$110 - $160/hr

S. in computer science, software engineering or a related field. * Minimum of six to eight (6-8) years of professional software development experience, with a focus on enterprise web-based ...

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All JobsScientific Software JobsScientific Software Jobs in Illinois

Scientific Software information

See Illinois salary details

$80.9K

$99.3K

$131.3K

How much do scientific software jobs pay per year?

As of Aug 21, 2026, the average yearly pay for scientific software in Illinois is $99,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $111,400.00 per year, depending on experience, location, and employer.

What is a scientific software developer?

A scientific software developer is a professional who designs, creates, and maintains software tools and applications used for scientific research and data analysis. These developers work closely with scientists and researchers to translate complex scientific problems into computational solutions. Their work often involves programming, algorithm development, and optimizing code for high-performance computing environments. Scientific software developers play a critical role in fields like physics, biology, chemistry, and engineering by enabling researchers to process and visualize large datasets, simulate experiments, and gain insights from data.

How does a scientific software professional typically collaborate with domain scientists and research teams?

Scientific Software professionals often work closely with domain scientists, researchers, and data analysts to develop and maintain tools that enable scientific discovery. Collaboration usually involves requirements gathering, iterative feedback on prototypes, and integrating scientific algorithms into user-friendly applications. Effective communication skills are crucial, as you’ll be translating complex scientific needs into robust, efficient code and ensuring the software meets both research objectives and usability standards. Team environments tend to be interdisciplinary, offering the opportunity to learn from experts in various scientific fields while contributing your technical expertise.

What are the key skills and qualifications needed to thrive in scientific software roles, and why are they important?

To excel in Scientific Software roles, you need a strong background in computer science, mathematics, or a scientific discipline, along with demonstrated programming proficiency (often in Python, C++, or MATLAB). Familiarity with version control systems (like Git), scientific computing libraries, and sometimes specialized tools (e.g., HPC clusters or cloud platforms) is typically expected. Strong analytical thinking, problem-solving, and effective communication skills help bridge the gap between scientific users and technical implementation. These skills ensure the creation of robust, efficient, and user-friendly software that accelerates scientific research and discovery.

What is the difference between Scientific Software vs Data Analyst?

AspectScientific SoftwareData Analyst
Required CredentialsTypically requires degrees in science, engineering, or computer science; coding skillsUsually requires degrees in statistics, mathematics, or related fields; strong analytical skills
Work EnvironmentResearch labs, scientific institutions, academia, industry R&DBusiness, finance, healthcare, marketing sectors
Employer & Industry UsageUsed by scientists and engineers for simulations, modeling, data analysisUsed by companies for data interpretation, reporting, decision-making

Scientific Software professionals focus on developing and utilizing specialized tools for scientific research and simulations, often working in research environments. Data Analysts interpret data to inform business decisions across various industries. While both roles require analytical skills and familiarity with data, Scientific Software roles emphasize scientific computing and programming, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Scientific Software jobs in Illinois?

For Scientific Software jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Scientific Software jobs in Illinois look for?

The top searched job categories for Scientific Software jobs in Illinois are:

Scientific Software jobs near you
Infographic showing various Scientific Software job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $99,325 per year, or $47.8 per hour.

Quantum Solutions Engineer - Scientific Machine Learning M/W

Pasqal

Chicago, IL • On-site

Full-time

Posted 21 days ago

Job description

PASQAL designs and develops Quantum Processing Units and dedicated software tools. These innovative processors address applications which are out of the reach of the most powerful existing supercomputers, encompassing real-world challenges as well as fundamental science. As they are very low energy intensive, they will significantly contribute to reduce the carbon footprint of the computing industry.
PASQAL has partnerships with key users in the fields of energy, IT, finance, drug and chemical design, automotive. The maturity and potential of our technology and the quality of our scientific team has been rewarded several times at French, European and global levels.
Description
We are looking for a Quantum Solutions Engineer to join our Quantum Applications department and build client-facing solutions based on PASQAL's quantum algorithm portfolio.
This application-driven engineering role focuses on adapting, integrating, and validating quantum and quantum-enhanced machine learning methods for real-world partner and client use-cases, with a strong focus on molecular and chemical applications.
The goal is to turn PASQAL's existing methods into reliable client deliverables by combining scientific machine learning, Graph Machine Learning, and analog quantum computing.
Contributions to internal method improvement are welcome when they directly support project outcomes.
You will join as a Scientific Machine Learning Engineer specializing in chemistry applications, working at the interface between graph machine learning, quantum algorithms, and industrial use cases.
With strong engineering skills and an interest in quantum computing (physics background is a plus), you will:
• Adapt and implement PASQAL's existing quantum and quantum-enhanced Graph ML algorithms for client datasets, scientific constraints, and performance targets.
• Translate scientific and chemical use cases into well-defined machine learning tasks, such as molecular property prediction, classification, ranking, or candidate screening.
• Select and implement suitable representations for molecules and chemical systems, including physicochemical descriptors, fingerprints, molecular graphs, and quantum feature representations.
• Integrate ML pipelines with quantum execution workflows, emulation and simulation platforms, PASQAL QPUs, and internal tooling.
• Collaborate closely with internal R&D teams to transfer quantum methods from research to application, clarify their assumptions and limitations, and select the most appropriate approach from PASQAL's portfolio.
• Work closely with chemistry experts from clients and partners to understand the scientific meaning, quality, and limitations of molecular and experimental data.
• Produce maintainable code, technical documentation, benchmark reports, and handover material so delivered solutions can be reproduced, reused, and supported.
• Maintain an active scientific and technological watch in Quantum Machine Learning, Graph Machine Learning, and molecular machine learning.
This list is non exhaustive.
About you
  • Master's degree or PhD in Machine Learning, Computational Chemistry or Quantum Physics
  • 2+ years of experience in a similar role
  • Strong ML engineering background, including model training and evaluation, classical baselines, metrics, and reproducible experimentation.
  • Hands-on experience with graph-structured data and Graph Machine Learning, such as graph kernels, Graph Neural Networks, or graph representations.
  • Familiarity with quantum computing or quantum mechanics concepts and constraints, including the differences between classical simulation, emulation, and hardware execution.
  • Working knowledge of fundamental chemistry concepts and familiarity with molecular representations such as descriptors, fingerprints, molecular graphs, or SMILES.
  • Strong interest in applying quantum computing to practical machine learning and scientific problems.
  • Experience working with molecular, chemical, materials, or other scientific data.
  • Ability to build end-to-end ML pipelines (pre/post-processing, integration with existing tools/platforms).

  • Physics background (quantum/atomic/optics) is a plus.
  • Delivery mindset and ownership (client-facing deliverables, pragmatism, trade-offs).
  • Strong communication and collaboration with internal R&D, hardware, and platform teams.

Right to work in USA without sponsorship is preferred.
What we offer
  • Flexible schedules to support work/life balance
  • A dynamic, close-knit, collaborative, and diverse international team for co-workers
  • An impactful role in a growing scale-up that is leading in the Neutral Atom Quantum Computing space
  • Competitive benefit packages
  • Lots of time off to enjoy the things you love outside of work
  • Free time to learn and attend conferences/meetups
  • Employment Terms : Full time, Direct hire, Hybrid

Recruitment process
  • An interview with our talent acquisition team via Teams Video meeting
  • A 1 hour video interview with hiring manager via Teams Video meeting
  • For technical roles: A technical Interview round via Teams Video with the hiring manager
  • Final Interview
  • An offer !

PASQAL is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, as inclusion and diversity are essential to achieving our mission. We encourage applications from all qualified candidates, regardless of gender, music preference, ethnicity, age, religion or sexual orientation.
Department Software Role Quantum Application Locations Chicago Remote status Hybrid Employment type Full-time Seniority Senior

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