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Computer Science Jobs in Carbondale, IL (NOW HIRING)

Master's Degree and one year of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or a closely related quantitative field. Experience with ...

Formal training in computer science/technology. * Formal training in BAS/DCS technology, or related industrial systems control applications and maintenance. * Any equivalent combination of education ...

Bachelor of science 4+ year degree (BSC or BEng) in engineering, or engineering technology. * The ... Computer engineering, Electro-mechanical, Manufacturing, Aerospace, Automotive, Mechatronics

Quality Engineer

Marion, IL · On-site

$76K - $90K/yr

Bachelor of science 4+ year degree (BSC or BEng) in engineering, or engineering technology. * The ... Electrical, Mechanical, Industrial, Control, Computer engineering, Electro-mechanical ...

Bachelor of science 4+ year degree (BSC or BEng) in engineering, or engineering technology. * The ... Electrical, Mechanical, Industrial, Control, Computer engineering, Electro-mechanical ...

Production Engineer

Marion, IL · On-site

$76K - $90K/yr

Bachelor of science 4+ year degree (BSC or BEng) in engineering, or engineering technology. * The ... Computer engineering, Electro-mechanical, Manufacturing, Aerospace, Automotive, Mechatronics

IL Lab Aide - Student

Marion, IL · On-site

$17 - $25.50/hr

... sciences. What You'll Do: Patient Care & Specimen Collection * Collect and process patient ... Enter patient information, diagnoses, and laboratory orders accurately into computer systems.

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Computer Science information

See Carbondale, IL salary details

$56.5K

$83.1K

$97.9K

How much do computer science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer science in Carbondale, IL is $83,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,400.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.
What are the most commonly searched types of Computer Science jobs in Carbondale, IL? The most popular types of Computer Science jobs in Carbondale, IL are:
What cities near Carbondale, IL are hiring for Computer Science jobs? Cities near Carbondale, IL with the most Computer Science job openings:
Infographic showing various Computer Science job openings in Carbondale, IL as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $83,057 per year, or $39.9 per hour.
Research Associate 3, 4, or 5

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Research Associate 3, 4, or 5Position Type:Other AcademicDepartment:LSUAM ORED - Center for Energy Studies (Gregory Brian Upton Jr. (00009417))Work Location:1067 Energy, Coast, and Environment BuildingPay Grade:Job Description:

This position provides support for the Center for Energy Studies' data-driven research and analysis activities, combining experience in energy economics, statistical modeling, database management, and web application development. The Research Associate will manage energy databases from national and state database systems (SONRIS, EPA, EIA, etc.), conduct econometric analysis, develop interactive data visualizations and support web applications development and Act 727 implementation for state energy data dissemination. Responsibilities include statistical analysis of energy markets and infrastructure, database development and maintenance, support data-driven web application development, and contributing to research initiatives such as the Gulf Coast Energy Outlook and energy policy studies. The candidate will combine quantitative analytical skills with technical programming capabilities to support data-driven research and information systems.

Job Responsibilities:

Research Associate 3:

Under the instruction of a supervisor, work to design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other federal and state sources. Assist in build and optimizing database structures, ETL pipelines, and automated data processing workflows. Perform data quality control, validation, and documentation. Support Act 727 implementation for Louisiana energy data repository. Ensure data accessibility, security, and compliance with standards. (30%)

As instructed under the supervision of a supervisor: conduct statistical analyses of energy markets, production trends, infrastructure development, and employment pattern. Apply econometric methods including regression analysis, time series modeling, and forecasting techniques. Help develop predictive models for energy production, drilling activity, and market behavior. Perform hypothesis testing, sensitivity analyses, and scenario modeling. Support economic impact assessments and cost-benefit analyses. (20%)

Support the development of interactive web-based data applications, dashboards, and visualization platforms using modern frameworks and tools. (10%)

Support research initiatives including Gulf Coast Energy Outlook, white papers, and policy studies. Conduct literature reviews, collect and validate data, and perform analyses at direction of faculty. Prepare data tables, statistical summaries, and visualizations for reports and publications. Contribute to methodology sections and technical documentation. Collaborate with faculty, research fellows, and external partners on interdisciplinary projects. (10%)

Work with supervisor to maintain technical systems using programming languages including Stata and R. (10%)

Coordinate with state agencies (Louisiana Department of Conservation and Energy) on data initiatives. Document data sources, methodologies, and system architectures. Provide technical support for data users and stakeholders if required. (10%)

Other duties as assigned. (10%)

Minimum Qualifications:

Master's degree in a related field or a bachelor's degree in a related field and two years of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or a closely related quantitative field.

Professional experience combining data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R, or SAS. Experience working with energy or government datasets. Skills in data visualization and dashboard development. Knowledge of econometric methods and statistical analysis.

Preferred Qualifications:

Master's Degree and one year of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or a closely related quantitative field. Experience with energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny, React or similar); experience in data visualization platforms (Excel, Tableau, Power BI); experience with econometric modeling and time series analysis; knowledge of Louisiana and Gulf Coast energy sector; experience with GIS and spatial analysis; familiarity with cloud platforms and modern data architectures; experience coordinating with government agencies on data initiatives; publication or technical report writing experience. Professional certifications in data analytics or database management.

Research Associate 4

Partner with leadership to work to design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other federal and state sources. Assist in building and optimizing database structures, ETL pipelines, and automated data processing workflows. Perform data quality control, validation, and documentation. Support Act 727 implementation for Louisiana energy data repository. Ensure data accessibility, security, and compliance with standards. (30%)

Work with leadership to conduct statistical analyses of energy markets, production trends, infrastructure development, and employment pattern. Apply econometric methods including regression analysis, time series modeling, and forecasting techniques. Help develop predictive models for energy production, drilling activity, and market behavior. Perform hypothesis testing, sensitivity analyses, and scenario modeling. Support economic impact assessments and cost-benefit analyses. (20%)

Support the development of interactive web-based data applications, dashboards, and visualization platforms using modern frameworks and tools. (10%)

Support research initiatives including Gulf Coast Energy Outlook, white papers, and policy studies. Conduct literature reviews, collect and validate data, and perform analyses at direction of faculty. Prepare data tables, statistical summaries, and visualizations for reports and publications. Contribute to methodology sections and technical documentation. Collaborate with faculty, research fellows, and external partners on interdisciplinary projects. (10%)

Work with leadership to maintain technical systems using programming languages including Stata and R. (10%)

Coordinate with state agencies (Louisiana Department of Conservation and Energy) on data initiatives. Document data sources, methodologies, and system architectures. Provide technical support for data users and stakeholders if required. (10%)

Other duties as assigned. (10%)

Minimum Qualifications:

Master's degree in a related field and two years of related experience or a bachelor's degree in a related field and four years of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or closely related quantitative field.

Professional experience combining data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R, or SAS. Experience working with energy or government datasets. Skills in data visualization and dashboard development. Knowledge of econometric methods and statistical analysis.

Preferred Qualifications:

Master's Degree and more than two years experience in Economics, Applied Economics, Data Science, Computer Science, or related quantitative field with strong programming emphasis.

Experience with energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny, React or similar); experience in data visualization platforms (Excel, Tableau, Power BI); experience with econometric modeling and time series analysis; knowledge of Louisiana and Gulf Coast energy sector; experience with GIS and spatial analysis; familiarity with cloud platforms and modern data architectures; experience coordinating with government agencies on data initiatives; publication or technical report writing experience.

Professional certifications in data analytics or database management.

Research Associate 5

Design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other federal and state sources. Build and optimize database structures, ETL pipelines, and automated data processing workflows. Perform data quality control, validation, and documentation. Support Act 727 implementation for Louisiana energy data repository. Ensure data accessibility, security, and compliance with standards. (30%)

Conduct statistical analyses of energy markets, production trends, infrastructure development, and employment pattern. Apply econometric methods including regression analysis, time series modeling, and forecasting techniques. Develop predictive models for energy production, drilling activity, and market behavior. Perform hypothesis testing, sensitivity analyses, and scenario modeling. Support economic impact assessments and cost-benefit analyses. (20%)

Develop interactive web-based data applications, dashboards, and visualization platforms using modern frameworks and tools. (10%)

Lead research initiatives including Gulf Coast Energy Outlook, write papers, and policy studies. Lead literature reviews, collect and validate data, and perform analyses at direction of faculty. Prepare data tables, statistical summaries, and visualizations for reports and publications. Contribute to methodology sections and technical documentation. Collaborate with faculty, research fellows, and external partners on interdisciplinary projects. (10%)

Maintain technical systems using programming languages including Stata and R. (10%)

Coordinate with state agencies (Louisiana Department of Conservation and Energy) on data initiatives. Document data sources, methodologies, and system architectures. Provide technical support for data users and stakeholders if required. (10%)

Other duties as assigned. (10%)

Minimum Qualifications:

Bachelor's degree and six years of related experience OR a master's degree and two years of related experience OR a terminal degree (Ph.D.) in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or closely related quantitative field.

Professional experience combining data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R, or SAS. Experience working with energy or government datasets. Skills in data visualization and dashboard development. Knowledge of econometric methods and statistical analysis.

Preferred Qualifications:

Ph.D in Economics, Applied Economics, Data Science, Computer Science, or related quantitative field with strong programming emphasis.

Experience with energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny, React or similar); experience in data visualization platforms (Excel, Tableau, Power BI); experience with econometric modeling and time series analysis; knowledge of Louisiana and Gulf Coast energy sector; experience with GIS and spatial analysis; familiarity with cloud platforms and modern data architectures; experience coordinating with government agencies on data initiatives; publication or technical report writing experience. Professional certifications in data analytics or database management.

Additional Information:

Physical ability and eye-hand coordination necessary to use a computer terminal, copier, telephone, and other standard office equipment; ability to sit in the same position for extended periods (5.5+ hours a day) at a time using continuous hand motions when entering data into the computer system.

Additional Job Description:Special Instructions:Please provide a cover letter, resume, and three (3) professional references including name, title, phone number, and e-mail address.
Please attach ALL required documents under the "Resume/CV" section of your application.
A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required before hiring.
Due to the nature of the position and/or position responsibilities, this position shall be subject to pre-employment screenings in accordance with University Policy as required and RS:17 screenings (https://www.legis.la.gov/legis/Law.aspx?p=y&d=1297548).
For questions or concerns about updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu.
For questions or concerns regarding the status of your application or salary ranges, please contact Dr. Greg Upton at gupton3@lsu.edu.

Skills Needed:

Preferred Skills:

Posting Date:June 22, 2026Closing Date (Open Until Filled if No Date Specified):October 21, 2026Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportuniti...