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Computer Science Graduate Jobs in Pittsburgh, PA

Candidate must graduate with a bachelor's or master's degree focused in Computer Science, Computer Engineering, Computer Information Systems, IT Security, Informatics, Information Science/Technology ...

... computer science. Calculus coursework appropriate for a physical science major is required as a ... One full year of graduate-level education in Meteorology, Atmospheric Science, or a related field.

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Computer Science Graduate information

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$22.7K

$59.8K

$116.1K

How much do computer science graduate jobs pay per year?

As of Aug 16, 2026, the average yearly pay for computer science graduate in Pittsburgh, PA is $59,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,590.00 and $63,718.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer science graduate, and why are they important?

To thrive as a Computer Science Graduate, you need a solid background in programming languages such as Python, Java, or C++, along with a bachelor’s degree in computer science or a related field. Familiarity with development tools, version control systems like Git, and potentially certifications in areas like cloud computing or cybersecurity are highly beneficial. Effective problem-solving, teamwork, and strong communication skills help you collaborate and convey technical concepts clearly. These competencies enable graduates to adapt quickly, contribute meaningfully to projects, and excel in diverse technical environments.

What kind of job can I get with a master's in computer science?

A computer science graduate with a master's degree can pursue roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, or machine learning engineer. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What is the best job for a computer science graduate?

The best jobs for a computer science graduate include software developer, data analyst, cybersecurity analyst, and systems engineer. These roles typically require programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms, and often offer strong job growth and salary potential.

What jobs can you get with a computer science graduate?

A computer science graduate can pursue roles such as software developer, systems analyst, database administrator, cybersecurity analyst, or network engineer. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, often within technology or IT environments.

What jobs can a computer science graduate get?

A computer science graduate can pursue roles such as software developer, systems analyst, database administrator, cybersecurity analyst, or network engineer. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL.

What types of entry-level roles are commonly available to computer science graduates, and what do these roles typically involve?

Computer Science Graduates often begin their careers in roles such as software developer, IT support specialist, data analyst, or QA tester. These positions usually involve tasks like writing and debugging code, assisting with software implementation, maintaining databases, or testing applications for quality assurance. The work environment is often collaborative, with opportunities to work in teams alongside experienced engineers or analysts. Entry-level roles provide valuable, hands-on experience and exposure to real projects that help new graduates build both technical and professional skills for future advancement.

Are computer science graduates struggling to find jobs?

Computer science graduates often face competitive job markets, but demand for skills in programming, software development, and data analysis remains strong. Success depends on gaining relevant experience, certifications, and staying updated with current technologies like cloud computing and cybersecurity.

What is a computer science graduate?

A Computer Science Graduate job is an entry-level position for individuals with a degree in computer science or a related field. These roles often focus on software development, data analysis, cybersecurity, or IT support. Graduates may work as software engineers, data analysts, system administrators, or in other tech-based roles. Responsibilities typically include coding, debugging, testing, and collaborating on technology projects. Many positions also offer opportunities for professional growth and specialization in areas like artificial intelligence, cloud computing, or cybersecurity.

What job categories do people searching Computer Science Graduate jobs in Pittsburgh, PA look for?

The top searched job categories for Computer Science Graduate jobs in Pittsburgh, PA are:

Infographic showing various Computer Science Graduate job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $59,789 per year, or $28.7 per hour.

Post Doctoral Associate-Kozai Lab

University of Pittsburgh

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 5 days ago


Job description

The Department of Bioengineering is seeking a Postdoctoral Associate in the Kozai lab. Incumbent will be responsible for conducting research on implantable neural interfaces, focusing on photostimulation, intracortical microstimulation (ICMS), and neural imaging. This role will involve designing, optimizing, and executing experiments that explore novel photostimulation technologies, particularly in the context of neural prosthetics and artificial sensory perception. The candidate will develop and characterize Wireless Axon stimulators, evaluating their spatial selectivity, stability, and long-term functionality within neural tissue.

In addition, the postdoctoral associate will employ in vivo two-photon microscopy and advanced imaging techniques to analyze the activation of different neuronal subtypes in response to stimulation. They will use molecular tools such as GCaMP6 and tdTomato to visualize and quantify neuronal and glial activity. Data collection, signal processing, and statistical analysis will be critical components of the role, requiring proficiency in MATLAB, Python, and ImageJ/Fiji for image and signal analysis.

The candidate will be expected to contribute to manuscript preparation, grant writing, and conference presentations to disseminate research findings. Collaboration with interdisciplinary teams, including neuroscientists, engineers, and clinicians, will be essential for advancing neuroengineering solutions. Additionally, the associate will mentor graduate and undergraduate students, providing technical expertise and guidance in experimental design and data analysis.

Job Requirements (majoring in BioE or a STEM field, etc.):

  • Ph.D. in Bioengineering, Neuroscience, Neurobiology, Biomedical Engineering, Molecular/Cellular Biology, Biochemistry, Chemistry, Electrical Engineering, Computer Science, Mechanical Engineering, Chemical Engineering, Physics, Optics, Material Science, or Mathematics.
  • Expertise in in vivo multiphoton microscopy, neurostimulation, or neuromodulation, particularly in the visual cortex.
  • Experience with electrochemistry, confocal microscopy, immunohistochemistry, and scanning electron microscopy (SEM) preferred.
  • Proficiency in signal processing and computational analysis using MATLAB, Python, or other relevant software.
  • Knowledge of neurobiology related to brain injuries and neurodegeneration (e.g., Multiple Sclerosis, Alzheimer's Disease, stroke) is advantageous.
  • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in an interdisciplinary research environment.
  • Excellent scientific writing and communication skills, with experience in manuscript preparation and conference presentations.
  • Experience with designing and conducting in vivo electrophysiology or optogenetics experiments is a plus.
  • Ability to mentor graduate and undergraduate students in research techniques and data analysis.