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Research Assistant Software Developer Jobs in Chicago, IL

Research Software Engineer

Chicago, IL · On-site

$110K - $135K/yr

Job Summary The Research Software Engineer (RSE) will develop software to support DSI's research priorities and specific initiatives related to data science for social good including resilient food ...

Software Developer - Java

Waukegan, IL · On-site

$90K - $128K/yr

Software Developer - Java Pay from $90,000 to $128,000 per year 2200 S. Lakeside Drive, Waukegan ... * Assist in architectural design reviews and project planning, lending your insights for strategic ...

Software Developer - Java

Waukegan, IL · On-site

$90K - $128K/yr

Software Developer - Java Pay from $90,000 to $128,000 per year 2200 S. Lakeside Drive, Waukegan ... * Assist in architectural design reviews and project planning, lending your insights for strategic ...

Software Developer - Java

Glenview, IL · On-site

$90K - $128K/yr

Software Developer - Java Pay from $90,000 to $128,000 per year 2200 S. Lakeside Drive, Waukegan ... * Assist in architectural design reviews and project planning, lending your insights for strategic ...

Quantitative Researcher

Chicago, IL · On-site

$250K - $300K/yr

Extract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniques * Assist software developers to translate research ...

Showing results 41-60

Research Assistant Software Developer information

See Chicago, IL salary details

$30.4K

$103.3K

$248.8K

How much do research assistant software developer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for research assistant software developer in Chicago, IL is $103,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $109,200.00 per year, depending on experience, location, and employer.

What is a research assistant software developer?

Research Assistant Software Developers are professionals who support research projects by developing, maintaining, and optimizing software tools and applications. They work alongside researchers, helping to design experiments, process data, and create algorithms or simulations necessary for the research. Their role bridges the gap between software engineering and academic research, ensuring that technical solutions meet the specific needs of scientific studies. This position often requires strong programming skills, familiarity with research methodologies, and the ability to collaborate in interdisciplinary teams.

What are some common challenges faced by research assistant software developers when working on interdisciplinary research projects?

Research Assistant Software Developers often collaborate with researchers from diverse academic backgrounds, which can introduce challenges in communication and aligning technical requirements with research goals. Adapting software solutions to evolving project needs and integrating new methodologies or datasets can require quick learning and flexibility. Balancing rigorous coding standards with rapid prototyping, especially under tight research deadlines, is another frequent challenge. However, this role provides valuable exposure to cutting-edge research and fosters strong problem-solving and teamwork skills.

What are the key skills and qualifications needed to thrive as a research assistant software developer, and why are they important?

A Research Assistant Software Developer should have solid programming skills, a background in computer science or a related field, and experience with software development methodologies. Familiarity with tools like Git, Python or Java, and data analysis libraries, as well as knowledge of research-specific platforms, is commonly required. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure the development of robust research software, facilitate collaboration with research teams, and contribute to the advancement of scientific projects.

What is the difference between Research Assistant Software Developer vs Data Analyst?

AspectResearch Assistant Software DeveloperData Analyst
Required CredentialsBachelor's in CS, Software Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between a Research Assistant Software Developer and a Data Analyst lies in their focus areas. Research Assistant Software Developers primarily work on developing software tools for research purposes, often within academic or research settings. Data Analysts focus on interpreting data to inform business decisions. Both roles require programming skills and analytical thinking, but their end goals and work environments differ.

What are popular job titles related to Research Assistant Software Developer jobs in Chicago, IL?

For Research Assistant Software Developer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Research Assistant Software Developer jobs in Chicago, IL look for?

The top searched job categories for Research Assistant Software Developer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Research Assistant Software Developer jobs?

Cities near Chicago, IL with the most Research Assistant Software Developer job openings:

Software Developers

Chicago, IL • On-site

Ruri Software Technologies LLC
Software Development • 11 - 50 employees

Full-time

Re-posted 26 days ago


Job description

Job Title: Software Developer
Location:Chicago IL (Hybrid)
Duration: 9+ months
Note:
  1. Please target candidates who are local to Chicago who are open to working in a hybrid model up to 2 days per week.
  2. Please target candidates with C/C++, Python, AWS cloud Application, and cloud database experience (MySQL, Oracle, RDS, Redshift) experience.

Key Technical Skills:
  • Programming Language: C/C++, Shell Scripting, AWK, Python
  • Databases: MySQL, Oracle, RDS, Redshift
  • Version Control : GIT, TFS, ADO
  • Experience on Cloud based applications (preferably AWS)
  • Tools: GDB/DDD debugger
  • Environments: Linux, AWS

Job Summary:
  • Generally responsible for the development, design and implementation of new or modified software products or ongoing business projects.
  • Design, develop, document, test, and debug new and existing software systems and/or applications for market sale or large-scale proprietary software for internal use. Serve as technical expert on development projects.
  • Participate in full development life cycle including requirements analysis and design.
  • Write technical specifications based on conceptual design and stated business requirements.
  • Support, maintain, and document software functionality. Identify and evaluate new technologies for implementation.
  • Analyze code to find causes of errors and revise programs as needed.
  • Participate in software design meetings and analyze user needs to determine technical requirements.
  • Consult with end user to prototype, refine, test, and debug programs to meet needs.

Primary Responsibilities:
  • Working closely with other developers, designers, business and systems analysts
  • Develop web applications and sites that engage and retain visitors.
  • Provide guidance on industry best practices, guidelines and governance for web applications and web sites.
  • Work closely with Quality Assurance to ensure end product is delivered with quality outcomes.
  • Perform benefit analysis for IT solutions and make recommendations for technology direction.
  • Researching, designing, implementing and managing software programs
  • Testing and evaluating new programs
  • Identifying areas for modification in existing programs and subsequently developing these modifications
  • Writing and implementing efficient code
  • Determining operational practicality
  • Developing quality assurance procedures
  • Deploying software tools, processes and metrics
  • Maintaining and upgrading existing systems