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Computer Scientist Jobs in Mount Prospect, IL (NOW HIRING)

University of Chicago

Staff Scientist

Chicago, IL · On-site

The role involves quantifying aortic geometry from CT scans and collaborating with computer science experts on conformal mapping projects. Responsibilities : • Supports machine learning and ...

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All JobsComputer Scientist JobsComputer Scientist Jobs in Mount Prospect, IL

Computer Scientist information

See Mount Prospect, IL salary details

$50.2K

$110.6K

$136.6K

How much do computer scientist jobs pay per year?

As of Jul 31, 2026, the average yearly pay for computer scientist in Mount Prospect, IL is $110,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $136,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Scientist, and why are they important?

To thrive as a Computer Scientist, you need a strong background in mathematics, programming, and algorithm design, usually supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, C++), development tools, and version control systems is typically required, along with knowledge of specialized software or frameworks relevant to your area. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help you collaborate and present complex ideas clearly. These skills and qualifications are important for developing innovative solutions, advancing technology, and working efficiently in multidisciplinary teams.

What are the jobs of a computer scientist?

A computer scientist designs, develops, and analyzes algorithms, software, and systems to solve complex problems. They often work in research, software development, data analysis, and cybersecurity, utilizing programming languages and computational theory. Their work may involve creating new technologies or improving existing ones, often requiring strong analytical and problem-solving skills.

What are computer scientists?

Computer scientists are professionals who study the theory, design, development, and application of computer systems and software. They work on solving complex problems using algorithms, programming languages, and computational methods. Their work can range from developing new technologies, improving cybersecurity, creating software, to researching artificial intelligence and machine learning. Computer scientists are employed in various industries, including tech companies, research institutions, government agencies, and academia.

What Does a Computer Scientist Do?

Computer scientists solve problems using technology. They write and program software, create applications for mobile devices, and develop websites. Their primary objectives are to validate and to develop mathematical models capable of computer interaction between people and other computers. They do this by running computer programs and improving computer processes and performance. Beyond working within theoretical frameworks, computer scientists can also research and focus in areas such as data structure and algorithms, information and database theory, software engineering, numerical analysis, computational complexity theory, computer graphics, programming language theory, and computer vision.

What would a computer scientist do?

A computer scientist researches, develops, and applies algorithms, software, and systems to solve complex problems. They may work on programming, data analysis, artificial intelligence, or cybersecurity, often using programming languages and tools to create innovative solutions. Their work can involve designing software, analyzing data, or improving computing processes.

How do computer scientists typically collaborate with other departments within an organization?

Computer scientists often work closely with teams from engineering, product management, data analytics, and IT to design, implement, and optimize technological solutions. Collaboration may involve participating in cross-functional meetings, providing technical expertise to inform business decisions, and integrating software systems with other platforms. Effective communication and teamwork are key, as computer scientists must translate complex technical concepts into actionable insights for non-technical colleagues. This collaborative environment not only broadens your professional network but also enhances your problem-solving skills through exposure to diverse perspectives.

What jobs can you do with computer science?

A computer scientist can work in roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or research scientist. These jobs often require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems. Many positions are available in technology companies, research institutions, and various industries that rely on computing solutions.

Is computer science dead due to AI?

Computer scientists develop and improve AI technologies, making their role essential as AI advances. The field continues to evolve, requiring skills in algorithms, programming, and data analysis to address new challenges and applications.

What is the difference between Computer Scientist vs Software Engineer?

AspectComputer ScientistSoftware Engineer
Required CredentialsBachelor's or higher in CS or related field; often advanced degreesBachelor's or higher in CS, Software Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, software development firms, IT departments
Employer & Industry UsageUniversities, research institutions, tech companiesSoftware development companies, startups, large corporations
Common Search & Comparison IntentUnderstanding roles, career paths, and skillsJob requirements, responsibilities, and career growth

Computer Scientists focus on theoretical foundations, algorithms, and research, often working in academia or R&D. Software Engineers design, develop, and maintain software applications in industry settings. While both roles require strong programming skills and a background in computer science, their work environments and primary objectives differ.

More about Computer Scientist jobs
What cities near Mount Prospect, IL are hiring for Computer Scientist jobs? Cities near Mount Prospect, IL with the most Computer Scientist job openings:
Computer Scientist jobs near you
Infographic showing various Computer Scientist job openings in Mount Prospect, IL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $110,618 per year, or $53.2 per hour.

SCIENTIST II, GENOMIC TECHNOLOGIES, DISCOVERY

MyGradJob

North Chicago, IL

Full-time

Re-posted 3 days ago

Job description

Company Description

AbbVie (NYSE:ABBV) is a global, research-based biopharmaceutical company formed in 2013 following separation from Abbott Laboratories. The company's mission is to use its expertise, dedicated people and unique approach to innovation to develop and market advanced therapies that address some of the world's most complex and serious diseases.AbbVie employs approximately 28,000 people worldwide and markets medicines in more than 170 countries.

Job Description
Apply at the Job Link!!
Job Link: http://mygradjob.com/job/scientist-ii-genomic-technologies-discovery-1606378/

The AbbVie Discovery organization is seeking to hire a genomic technology expert within the Target Enabling Science and Technology Department's Genomics Research Center (GRC). The successful candidate will be part of a growing core technology team dedicated to running centralized genomic technology platforms in support of multiple disease biology groups. The team will be responsible for developing and applying genomic technologies to support target ID, target validation, model characterization, and compound MOA. Major technology platforms will include Illumina next generation sequencing (NGS) and Affymetrix GeneChip. The successful candidate will be responsible for carrying out genomic profiling experiments and communicating results to stakeholders and collaborators.

Job Responsibilities:

  • Perform genomic profiling analysis with the highest standards of scientific rigor.
  • Collaborate to design the best possible experiments.
  • Deliver high quality data and results under agreed upon timelines.
  • Process and perform QC analysis of samples from tissues and cells.
  • Perform initial data QC and first pass analysis of results.
  • Partner with bioinformatics specialists and disease area scientists to interpret results and design follow up experiments.
  • Operate and maintain genomic technology platforms within centralized technology group.
  • Effectively communicate with stakeholders, especially around trouble-shooting and responding to changes in priorities and adjusting timelines.
  • Prepare written summaries of experimental results and verbally present in team meetings.
  • Keep current on rapidly evolving genomic technology platforms, especially DNA microarrays, RNA-Seq, DNA-Seq, and digital PCR. Contribute to technology development efforts as needs arise.
  • Work with external CROs and technology providers as needed to complement internal capabilities and address spikes in demand.
Qualifications

Basic qualifications:

  • MS in molecular biology, genomic sciences or a related field with 5+ years of experience, or BS with 7+ years of experience.
  • Strong record of hands-on experience and technical knowledge of genomic profiling technologies, including but not limited to: RNA-Seq, DNA-Seq, Affymetrix GeneChips, and NextGen PCR technologies.
  • Experience being part of a centralized technology group is desirable.
  • Industry experience is desired but willing to consider individuals with equivalent years of experience in academic or non-industry research settings.
  • Expert and detailed knowledge of genomic sample processing, sample QC, genomic profiling data QC and analytical methods.
  • Familiarity with LIMS, sample tracking and workflow optimization.
  • High attention to detail, strong written and verbal communication skills, ability to work independently and as part of teams.
  • Ability to work in fast-paced, dynamic environment and to independently carry forward multiple projects in parallel.

Key Leadership Competencies:

  • Builds strong relationships with peers and cross functionally with partners outside of team to enable higher performance
  • Learns fast, grasps the 'essence' and can change the course quickly where indicated
  • Raises the bar and is never satisfied with the status quo
  • Creates a learning environment, open to suggestions and experimentation for improvement
  • Embraces the ideas of others, nurtures innovation and manages innovation to reality
Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply