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Entry Level Computer Science Degree Jobs in Boston, MA

Senior Data Scientist

Boston, MA ยท On-site

$130 - $175/hr

Advanced degree in data science, statistics, computer science, or similar. * Extensive experience as a data scientist. * Proficiency in R or Python, where the former is preferred. * In-depth ...

Data Scientist (CLEARANCE REQUIRED)

Woburn, MA ยท On-site

$110K - $138K/yr

... degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve ...

... degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve ...

... degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve ...

Junior IT Networker

Norwood, MA ยท On-site

$30 - $40/hr

Bachelor's degree in computer science degree preferred * Optional: CompTIA A+ or Network+ certification is a plus Basic Minimum Work Requirements: * Minimum 2+ years of experience in an IT support or ...

Advanced degree (or proven experience) in Computer Science, Data Science, Mathematics, or any quantitative science which makes use of advanced data analytics or statistical or machine learning ...

A recent STEM degree (e.g., Computer Science, Information Technology, Engineering, or a related discipline) OR 12+ months of professional work experience in finance, healthcare, banking, insurance ...

Applied Scientist II - AMZ27057.1

Boston, MA ยท On-site

$161K - $193K/yr

Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and five years of research or work experience in a related ...

Showing results 41-60

Entry Level Computer Science Degree information

See Boston, MA salary details

$32K

$108.9K

$262.4K

How much do entry level computer science degree jobs pay per year?

As of Aug 9, 2026, the average yearly pay for entry level computer science degree in Boston, MA is $108,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $115,200.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Computer Science Graduate, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically backed by a bachelor's degree in computer science or a related field. Familiarity with version control systems (like Git), basic software development tools, and potentially certifications like CompTIA IT Fundamentals or AWS Certified Cloud Practitioner is valuable. Strong problem-solving abilities, teamwork, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are important because they enable you to contribute to technology projects efficiently, adapt to new challenges, and work effectively with diverse teams.

What can you do with an entry level computer science degree?

An entry level computer science degree qualifies individuals for roles such as software developer, technical support specialist, quality assurance tester, or data analyst. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and version control systems.

What types of projects or tasks can I expect to work on as an entry level computer science graduate?

As an entry-level computer science graduate, you can expect to work on a variety of foundational tasks such as debugging code, writing and testing software modules, maintaining databases, and assisting with user support. Many teams pair new hires with experienced mentors, allowing you to learn best practices and gradually take on more complex responsibilities. You may also participate in team meetings, contribute to documentation, and collaborate with other departments like quality assurance or product management. This hands-on experience helps you build technical skills while developing a deeper understanding of the software development lifecycle.

What jobs can I get with an entry level computer science degree?

With an entry level computer science degree, you can qualify for a range of positions such as software developer, web developer, IT support specialist, data analyst, and quality assurance tester. Many entry-level roles involve programming, assisting with software development, troubleshooting technical issues, and supporting IT infrastructure. Some graduates also find opportunities in fields like cybersecurity, database management, and network administration. Your exact job prospects may depend on your coursework, internships, and technical skills. Building a portfolio and gaining practical experience through projects or internships can enhance your chances in the job market.
What job categories do people searching Entry Level Computer Science Degree jobs in Boston, MA look for? The top searched job categories for Entry Level Computer Science Degree jobs in Boston, MA are:
Infographic showing various Entry Level Computer Science Degree job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $108,929 per year, or $52.4 per hour.

AI Residency Program, Material Science (2026 Cohort)

Lila Sciences

Cambridge, MA โ€ข On-site, Remote

Full-time

Re-posted 14 days ago


Job description

AI Resident - 2026 Cohort

The AI Residency Program is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science. Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research.

  • Duration: 6-12 months (extension possible)
  • Start Dates: First hires beginning January 2026, with rolling applications and additional intakes in Summer and Fall 2026
  • Cohort Size: Small group of selected residents
  • Mentorship: Pairing with technical mentors, feedback from cross-functional teams
  • Resources: Access to proprietary datasets, high-performance compute, and Lila's research infrastructure

Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.

ย 
Application Requirement:
Please submit yourย resume alongside a research proposal (up to 3 pages, unlimited references) outlining the project you would plan to pursue during your residency at Lila Sciences. Please submit your research proposal as your cover letter. Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included.ย 

Your Impact at Lila

The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lila's world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required - what matters most is pushing the frontier of scientific discovery.

What You'll Be Building

  • Design and execute independent research projects in AI for materials science
  • Collaborate with Lila scientists and engineers on cutting-edge, open-science initiatives
  • Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation
  • Contribute to collaborative team research and co-develop novel approaches to scientific discovery
  • Share findings internally and externally; publications are welcome but not mandatory

What You'll Need to Succeed

  • Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelor's, Master's, or PhD)
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch)
  • Experience working with large-scale datasets or simulations
  • Familiarity with modern AI/ML architectures and training techniques
  • Strong research background, demonstrated through publications, thesis work, or open-source projects

Bonus Points For

  • Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, simulations)
  • Familiarity with Bayesian optimization, active learning, or generative models
  • Experience in reinforcement learning or agent-based approaches to scientific reasoning
  • Open-source contributions or collaborative research experience
  • Strong communication and writing skills, especially for conveying complex scientific ideas