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Co Op Computer Science Jobs in Waltham, MA (NOW HIRING)

Lila Sciences

Co-Op, Next Gen Engineering

Cambridge, MA

$18.25 - $23.75/hr

Throughout your co-op, you'll have the opportunity to learn from and collaborate with diverse ... Computer Science). * Proficiency or strong interest in software development and programming.

Waters Corporation

Plumbing Co-op

Milford, MA · On-site

Computer literacy with basic understanding of Microsoft Office * Ability to follow written and ... WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of ...

Waters Corporation

Plumbing Co-op

Milford, MA · On-site

Computer literacy with basic understanding of Microsoft Office * Ability to follow written and ... WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of ...

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused ... Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a ...

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Co Op Computer Science information

See Waltham, MA salary details

$26.4K

$52.2K

$85.2K

How much do co op computer science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for co op computer science in Waltham, MA is $52,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $56,100.00 per year, depending on experience, location, and employer.

What types of projects or tasks do co op computer science students typically work on during their placement?

As a Computer Science Co-op student, you can expect to work on a variety of hands-on projects, such as developing software features, assisting with bug fixes, automating workflows, or performing quality assurance testing. Many companies also involve Co-ops in team meetings, code reviews, and collaborative development efforts, ensuring you gain a holistic understanding of the software development lifecycle. Your daily tasks may vary, but you will often work alongside experienced developers and receive mentorship to help build your technical and professional skills. This real-world experience not only enhances your resume but also helps you build a valuable professional network for future career opportunities.

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

To thrive as a Co Op Computer Science, a strong foundation in programming languages (such as Java, Python, or C++), problem-solving skills, and current enrollment in a computer science degree program are essential. Familiarity with version control systems like Git, coding environments such as Visual Studio Code, and exposure to databases or basic cloud platforms are commonly expected. Strong communication, time management, and willingness to learn help you stand out and adapt quickly to new tasks and team environments. These skills and qualities are vital for successfully contributing to real-world software projects while gaining practical experience in a professional setting.

What is a co op computer science?

A Co-Op Computer Science job is a paid, structured work opportunity that allows students to gain hands-on experience in the field while completing their degree. Co-op positions are typically full-time and last for a semester or more, offering real-world exposure to software development, data analysis, cybersecurity, and other technical areas. These roles help students build professional skills, expand their network, and improve job prospects after graduation. Participants often alternate between work terms and academic semesters to balance learning and industry experience.

What other jobs can I do with a Co Op Computer Science degree?

A Co Op Computer Science degree can qualify you for roles such as software developer, systems analyst, quality assurance tester, database administrator, or network administrator. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like SQL, Java, or Python, and may involve working in team environments or following industry standards.

Is Co Op Computer Science a good career in 2030?

A co-op in computer science can provide valuable industry experience and skills such as programming, software development, and teamwork, which are highly relevant in the evolving tech landscape. As technology continues to grow, careers in computer science are expected to remain in demand, making co-op opportunities beneficial for future employment prospects.

What are the most commonly searched types of Computer Science jobs in Waltham, MA?

The most popular types of Computer Science jobs in Waltham, MA are:

What are popular job titles related to Co Op Computer Science jobs in Waltham, MA?

For Co Op Computer Science jobs in Waltham, MA, the most frequently searched job titles are:

What job categories do people searching Co Op Computer Science jobs in Waltham, MA look for?

The top searched job categories for Co Op Computer Science jobs in Waltham, MA are:

What cities near Waltham, MA are hiring for Co Op Computer Science jobs?

Cities near Waltham, MA with the most Co Op Computer Science job openings:

Co Op Computer Science jobs near you

Co-Op, Enterprise Go-to-Market

Lila Sciences

Cambridge, MA

Full-time

Posted 17 days ago

Job description

Your Impact at LILA

Lila is looking for a fall co-op to support the Enterprise Go-to-Market team as we build more proactive, structured, and data-informed ways to prioritize customer opportunities. This role will sit close to enterprise, product marketing, and commercial workflows, helping the team turn customer signals, competitive intelligence, CRM data, and market research into clearer enablement systems.

The co-op will support projects across opportunity prioritization, customer segmentation, competitive research, and sales tooling. They will help organize information, improve how the team tracks and acts on market signals, and contribute to practical resources that make enterprise GTM work more focused and repeatable.

This is a good fit for someone who is curious about B2B go-to-market strategy, product marketing, revenue operations, and AI-enabled commercial systems. The work will be hands-on and cross-functional, with exposure to how Lila identifies priority customers, supports strategic deals, and builds the operating tools needed for a fast-growing enterprise team.

What You'll Be Building

  • Support research on customer segmentation, opportunity prioritization, and strategic account focus areas.
  • Help organize customer, market, and CRM data into usable GTM enablement resources.
  • Synthesize signals from customer conversations, market research, and internal data into clear briefs and summaries.
  • Build lightweight tools, trackers, and workflows that make GTM execution more proactive, including competitive intelligence resources for the AI-for-science landscape.
  • Contribute to research-backed sales and product marketing materials for enterprise audiences.
  • Help clarify how Lila's platform differs from point-solution AI tools, CRO-style approaches, lab automation vendors, scientific software, and model-only providers.
  • Identify ways AI tools and agentic workflows can improve team productivity, insight generation, and prioritization.

What You'll Need to Succeed

  • Currently enrolled in an MBA program.
  • Strong interest in enterprise go-to-market, product marketing, revenue operations, or commercial strategy.
  • High comfort using AI tools to research, structure information, and improve day-to-day workflows.
  • Able to synthesize messy inputs into clear briefs, trackers, summaries, or recommendations.
  • Strong written communication skills, with attention to clarity, structure, and audience.
  • Comfortable working across commercial, product marketing, and technical stakeholders.
  • Organized, proactive, and able to manage multiple small projects with clear follow-through.

Bonus Points For

  • Experience in B2B software, enterprise technology, AI, or model-provider environments.
  • Familiarity with CRM tools, GTM tooling, market research, or customer segmentation.
  • Interest in AI for science, scientific software, lab automation, or technical commercialization.
  • Technical academic background in life sciences, physical sciences, engineering, computer science, or a related field.

Apply