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

This co-op will contribute to autonomous SEM workflows that make characterization more consistent ... Computer Science, or a related technical field. * Experience building automated scientific or ...

About the Opportunity JOB SUMMARY The Co-op Counselor supports the Office of the Chancellor and the Cooperative Education programs for the College of Social Sciences and Humanities (CSSH) and Bouvé ...

About the Opportunity JOB SUMMARY The Co-op Counselor supports the Office of the Chancellor and the Cooperative Education programs for the College of Social Sciences and Humanities (CSSH) and Bouve ...

About the Opportunity JOB SUMMARY The Co-op Counselor supports the Office of the Chancellor and the Cooperative Education programs for the College of Science (COS) and the College of Arts, Media and ...

About the Opportunity JOB SUMMARY The Co-op Counselor supports the Office of the Chancellor and the Cooperative Education programs for the College of Science (COS) and the College of Arts, Media and ...

Co-Op, Data Extraction Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that ... Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a ...

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 ...

Assistant/Associate Co-op Coordinator

Boston, MA · On-site

$19.75 - $27.25/hr

... Sciences and Humanities (CSSH). This position is a full-time, non-tenure track, 12-month faculty ... Proficiency in computer/technology and database maintenance, with excellent time management and ...

This co-op will contribute to autonomous SEM workflows that make characterization more consistent ... Computer Science, or a related technical field. * Experience building automated scientific or ...

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Co Op Computer Science information

See Andover, MA salary details

$24.8K

$49K

$80K

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

As of Aug 8, 2026, the average yearly pay for co op computer science in Andover, MA is $49,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,000.00 and $52,700.00 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 Andover, MA? The most popular types of Computer Science jobs in Andover, MA are:
What job categories do people searching Co Op Computer Science jobs in Andover, MA look for? The top searched job categories for Co Op Computer Science jobs in Andover, MA are:
What cities near Andover, MA are hiring for Co Op Computer Science jobs? Cities near Andover, MA with the most Co Op Computer Science job openings:
Infographic showing various Co Op Computer Science job openings in Andover, MA as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $49,013 per year, or $23.6 per hour.

Full-time

Re-posted 7 days ago


Job description

Your Impact at LILA

Lila Sciences is seeking a Co-Op, Autonomous SEM to join the Materials Science team within the Autonomous Science Platform. This co-op will contribute to autonomous SEM workflows that make characterization more consistent, high-throughput, and less dependent on manual operators. The work sits at the intersection of materials characterization, image analysis, and autonomous laboratory workflows. The co-op will support SEM-based imaging workflows that help instruments identify useful regions, evaluate image quality, adjust acquisition conditions, and generate datasets suitable for downstream analysis and ML training.

This is a hands-on opportunity for a student interested in building practical autonomy for scientific instruments-turning SEM from a manually driven characterization tool into a system that can navigate samples, make acquisition decisions, and produce richer datasets for materials discovery.

What You'll Be Building

  • Support development of autonomous SEM workflow using vendor APIs
  • Test navigation logic for locating particles, surfaces, and regions of interest.
  • Evaluate image quality using criteria such as focus, contrast, feature visibility, and sampling value.
  • Support experiments that connect imaging decisions to downstream analysis and ML training needs.
  • Document acquisition behavior, edge cases, and failure modes across sample types.
  • Collaborate with ML scientists, experimental scientists, and software partners on instrument-control requirements.
  • Help define practical guardrails for autonomous SEM operation, including when to capture, reposition, zoom, or adjust parameters.

What You'll Need to Succeed

  • Currently pursuing a PhD or have completed a PhD in Materials Science, Chemistry, Chemical Engineering, Physics, Applied Physics, Computer Science, or a related technical field.
  • Experience building automated scientific or laboratory workflows using Python.
  • Deep understanding of electron optics, electron-beam interaction with matter, column alignments, stigmation correction, and source dynamics
  • Familiarity with MCP servers, LLM-enabled workflows, or agentic control of scientific instruments.
  • Experience with closed-loop learning, active learning, Bayesian optimization, or reward-driven experimental workflows.
  • Ability to translate expert instrument operations into clear, testable, and well-documented workflow logic.

Bonus Points For

  • Experience with autonomous microscopy, self-driving labs, or agentic scientific workflows.
  • Experience with data analysis for scientific images, spectra, or microscopy datasets.
  • Experience with image segmentation, particle finding, feature detection, or morphology analysis.
  • Interest in building practical autonomy for scientific instruments across real sample types and workflows.