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

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 ...

Waters Corporation

Electrical Student 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 ...

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All JobsCo Op Computer Science JobsCo Op Computer Science Jobs in Cambridge, MA

Co Op Computer Science information

See Cambridge, MA salary details

$26.8K

$52.9K

$86.3K

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

As of Aug 17, 2026, the average yearly pay for co op computer science in Cambridge, MA is $52,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,100.00 and $56,800.00 per year, depending on experience, location, and employer.

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 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.

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 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.

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

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

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

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

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

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

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

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

Co Op Computer Science jobs near you
Infographic showing various Co Op Computer Science job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $52,890 per year, or $25.4 per hour.

Co-Op, Data Extraction

Lila Sciences

Cambridge, MA • On-site

Full-time

Re-posted 7 days ago

Job description

Your Impact at LILA
Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literature, patents, technical reports) into structured signals that power downstream Lila applications. As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction models, building pipelines for messy real-world data, and shipping work that flows into production systems.
What You'll Be Building
  • Contribute to AI systems that extract and structure knowledge from scientific literature and patents, focused on a well-defined sub-problem
  • Fine-tune and evaluate language, multimodal, or specialized models for data extraction, with mentor guidance
  • Build and test pipelines that structure unstructured scientific data across text, tables, and visuals
  • Run extraction pipelines, analyze results, and document findings clearly
  • Share your work through a team presentation, write-up, or contribution to a publication or open-source project

What You'll Need to Succeed
  • Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field
  • Solid foundation in machine learning fundamentals and Python
  • Familiarity with NLP or computer vision concepts
  • Curiosity about scientific data and willingness to learn quickly in a research setting

Bonus Points For
  • Coursework or projects involving multimodal models or document understanding (OCR, table/figure extraction)
  • Experience working with messy, real-world datasets
  • Interest in scientific document parsing

About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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