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Computer Science Fresh Graduate Jobs in Chicago, IL

The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health ...

... scientific and research environment. This position offers an excellent opportunity to develop ... Basic computer proficiency is appropriate for the assigned role. Work Arrangement: Please note that ...

DePaul's graduate and undergraduate Computer Science programs are the premier training ground for computing professionals in the Chicago area. Our M.S. program in Computer Science includes one ...

Showing results 41-60

Computer Science Fresh Graduate information

See Chicago, IL salary details

$92.3K

$110.8K

$126.8K

How much do computer science fresh graduate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer science fresh graduate in Chicago, IL is $110,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $120,100.00 per year, depending on experience, location, and employer.

What is a computer science fresh graduate?

A Computer Science Fresh Graduate job is an entry-level position designed for individuals who have recently completed a degree in computer science or a related field. These roles typically involve tasks like software development, database management, IT support, or cybersecurity, depending on the employer. Companies hire fresh graduates to train them in industry practices and align their skills with organizational needs. Common job titles include Software Engineer, IT Support Specialist, and Data Analyst. Employers look for strong programming skills, problem-solving abilities, and a willingness to learn new technologies.

What types of projects and responsibilities can a computer science fresh graduate expect in their first role?

As a Computer Science Fresh Graduate, you can typically expect to contribute to coding, debugging, testing, and maintaining software applications under the guidance of more experienced team members. You'll often collaborate closely with engineers, designers, and sometimes clients to deliver project goals and learn best practices. Initial responsibilities may also include participating in code reviews, writing documentation, and assisting in troubleshooting technical issues. These projects are designed to help you build industry experience, strengthen your technical skills, and prepare for more advanced assignments or leadership roles over time.

What are the key skills and qualifications needed to thrive in the computer science fresh graduate position, and why are they important?

To thrive as a Computer Science Fresh Graduate, you need a solid understanding of programming languages, data structures, algorithms, and software development principles, typically proven by a bachelor's degree in computer science or a related field. Familiarity with industry-standard tools like Git, integrated development environments (IDEs), and possibly certifications in areas such as cloud computing or cybersecurity can be advantageous. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills will help you stand out. These competencies are crucial for adapting to varied technical tasks, succeeding in collaborative projects, and quickly growing in the fast-evolving tech industry.

What are the most commonly searched types of Computer Science Fresh Graduate jobs in Chicago, IL?

The most popular types of Computer Science Fresh Graduate jobs in Chicago, IL are:

What job categories do people searching Computer Science Fresh Graduate jobs in Chicago, IL look for?

The top searched job categories for Computer Science Fresh Graduate jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Computer Science Fresh Graduate jobs?

Cities near Chicago, IL with the most Computer Science Fresh Graduate job openings:

Infographic showing various Computer Science Fresh Graduate job openings in Chicago, IL as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $110,827 per year, or $53.3 per hour.

Talent Community | Data Scientist

EVOZYNE INC

Chicago, IL • On-site

Full-time

Re-posted 6 days ago


Job description

Evozyne designs and builds engineered protein therapeutics using our AI-native platform, transforming what’s possible in immune-mediated disease treatment. Our Data Scientists partner closely with our research teams to transform complex experimental data into insights that guide molecule design and program strategy, turning bold ideas into therapies that can meaningfully improve patients’ lives. This posting helps us connect with candidates for future opportunities. While this listing is not tied to a current opening, we encourage you to join our talent community so we can connect with you when new roles emerge!

Key Responsibilities

  • Analyze and integrate diverse experimental datasets (e.g., sequencing, biophysical, cell-based, and functional assays) to inform therapeutic design decisions
  • Develop computational and statistical models to support protein engineering, optimization, and candidate selection
  • Design and implement workflows for data processing, visualization, and interpretation that enable rapid, high-quality decision-making
  • Partner with discovery scientists to translate biological questions into quantitative analyses and predictive approaches
  • Apply machine learning and modeling methods to improve design strategies
  • Build scalable tools and pipelines that enhance reproducibility and accessibility of experimental insights
  • Communicate findings clearly to cross-functional teams and contribute to project strategy and prioritization

Who You Are

You thrive in an early-stage start-up environment and are motivated by the opportunity to build new therapies that can transform patients’ lives. You combine agility with scientific rigor to deliver high-quality results, and you bring natural curiosity and a collaborative mindset to solving complex challenges.

Minimum Qualifications

  • Undergraduate and/or graduate level education focused on data science, computational biology, bioinformatics, computer science, machine learning, AI, or a similar field
  • Hands on experience analyzing experimental, biological, chemistry, or physics datasets (industry, startup, or academic lab)
  • Ability to understand experimental context (read protocols, interpret assay outputs) and partner effectively with experimentalists
  • Solid grasp of EDA and basic statistics (distributions, confidence intervals, hypothesis testing)