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Associate Computer Science Jobs in Winthrop, MA (NOW HIRING)

The Goodwill Computing Lab seeks a Postdoctoral Research Associate. The Goodwill Computer Lab ... PhD in computer science with file systems, GPU architecture experience. Proven ability to ...

Participate in multidisciplinary project teams integrating imaging, sequencing, and cell technologies. * Assist in training and mentoring research associates and junior scientists when required.

Participate in multidisciplinary project teams integrating imaging, sequencing, and cell technologies. * Assist in training and mentoring research associates and junior scientists when required.

Participate in multidisciplinary project teams integrating imaging, sequencing, and cell technologies. * Assist in training and mentoring research associates and junior scientists when required.

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Associate Computer Science information

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$9

$19

$32

How much do associate computer science jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for associate computer science in Winthrop, MA is $19.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.82 per hour, depending on experience, location, and employer.

What is an associate computer science professional?

An Associate Computer Science professional typically holds an associate degree in computer science or a related field and works in entry-level positions within the tech industry. They are responsible for assisting with software development, troubleshooting, maintaining computer systems, and supporting IT teams. These professionals often work under the supervision of more experienced engineers or developers and may contribute to coding, testing, and basic technical support. The role is a great starting point for those looking to build a career in technology and can lead to more advanced opportunities with experience and further education.

What are the key skills and qualifications needed to thrive as an associate computer science professional?

To thrive as an Associate in Computer Science, you need foundational knowledge in programming, algorithms, data structures, and typically a bachelor’s degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, experience with version control systems such as Git, and understanding of databases are commonly required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively with others help you stand out in this role. These competencies ensure you can successfully contribute to software development projects, solve technical challenges, and support team goals in a dynamic technology environment.

What types of projects and technologies can an associate computer science professional expect to work on in their first year?

As an Associate Computer Science professional, you will often be assigned to entry-level projects such as developing or maintaining software applications, testing code, or assisting with database management. You'll likely work with common programming languages like Java, Python, or C++, and may be introduced to collaborative tools such as version control systems (e.g., Git). The team environment typically includes regular code reviews and mentorship from senior engineers, providing opportunities to learn best practices and develop your technical skills. Over time, you'll gain exposure to more complex tasks and technologies as you build your experience.

What is the difference between Associate Computer Science vs Computer Programmer?

AspectAssociate Computer ScienceComputer Programmer
Required CredentialsAssociate's degree in Computer Science or related fieldTypically a bachelor's degree or coding bootcamp certification
Work EnvironmentEntry-level, team-based projects in tech companies, startups, or IT departmentsWriting, testing, and debugging code in various programming languages
Employer & Industry UsageCommon in tech firms, government agencies, and educational institutionsWidely used across software companies, finance, and tech industries

The main difference is that an Associate Computer Science focuses on foundational knowledge and may involve broader IT tasks, while a Computer Programmer specializes in coding and software development. Both roles often require similar educational backgrounds, but their daily tasks and career paths differ.

Are associate computer science majors still in demand?

Associate computer science majors are in demand for entry-level roles such as support specialists, technicians, and junior developers, especially as organizations seek to fill positions requiring foundational programming, networking, and troubleshooting skills. However, advancing to higher-level positions often requires further education or certifications, and staying current with evolving technologies increases employability.

Is an associate's degree in computer science worth getting?

An associate's degree in computer science can provide foundational skills in programming, networking, and systems, which are valuable for entry-level roles such as support specialist or technician. While it may lead to lower starting salaries compared to a bachelor's degree, it can be a cost-effective way to enter the tech field and gain practical experience quickly.

What can I do with an associate computer science degree?

An associate computer science degree prepares individuals for entry-level roles such as computer support specialist, help desk technician, or junior programmer. It provides foundational skills in programming, networking, and troubleshooting, often enabling further certifications or education for advanced positions.

What cities near Winthrop, MA are hiring for Associate Computer Science jobs?

Cities near Winthrop, MA with the most Associate Computer Science job openings:

Infographic showing various Associate Computer Science job openings in Winthrop, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $40,759 per year, or $19.6 per hour.

Principal Scientist / Associate Director, Agentic AI Research for Materials Science

Cambridge, MA β€’ On-site

Full-time

Re-posted 6 days ago


Job description

Your Impact at LILA

Own the technical direction for agentic AI systems applied to materials science at Lila. You will set and execute the roadmap for autonomous agents that plan, run, and interpret materials experiments, based on understanding of internal knowledge and state-of-the-art research work in public literature. Your work shifts materials research from human-paced iteration to machine-paced experimentation through scientific reasoning and understanding.

This is a player-coach role on the PS AI team. You will lead a small group of scientists and engineers, set the bar for scientific rigor and engineering quality, and partner with diverse teams so that agentic systems land on real programs. You will own the trade-offs between research ambition and production reliability, and represent the agentic-AI direction to technical leadership.

The work spans foundational research and applied delivery. You will publish where the science merits it, ship systems that materials teams depend on, and shape how Lila scales agentic capabilities across its materials portfolio.

What You'll Be Building

  • Roadmap and direction. Define and execute the agentic AI roadmap for materials science, including agentic frameworks and retrieval-augmented generation for understanding multi-modal research data from research literature and other data sources.
  • Agent system architecture. Lead the design of agentic frameworks grounded in fundamental scientific understanding and the state of the art, and deliver end-to-end systems on real-world projects.
  • Team leadership. Hire, mentor, and grow a small cross-functional team of scientists and engineers; set the bar for scientific rigor, code quality, and reproducibility.
  • Cross-team partnership. Partner with diverse teams at Lila to push the state of the art and deliver systems that integrate with experimental infrastructure and land on real programs.
  • Research currency and external voice. Track state-of-the-art in agentic AI, scientific ML, data extraction, and reasoning models; translate external advances into internal direction, and publish or present where the science merits it.

What You'll Need to Succeed

  • PhD in Computer Science, Machine Learning, Materials Science, Chemistry, Physics, or a related field, with 5+ years of post-PhD research and applied ML experience.
  • Track record of building and shipping agentic systems, ML pipelines, or autonomous research workflows that delivered measurable scientific or product impact.
  • Deep expertise across modern ML, NLP, and reasoning: LLMs, agentic frameworks, tool use, planning, data extraction, and multi-modal data.
  • Working knowledge of materials science, computational chemistry, or condensed-matter physics sufficient to ground agent behavior in real scientific constraints.
  • Proficiency in Python and the ML software stack, with strong engineering habits around reproducibility, testing, and production deployment.
  • Experience leading scientists and engineers: setting technical direction, hiring, mentoring, and developing team members.
  • Clear written and verbal communication; able to translate between research, engineering, and program stakeholders.

Bonus Points For

  • Publications, patents, or open-source contributions in agentic AI, scientific ML, or autonomous research systems.
  • Experience integrating agents with real-world materials science tasks and familiarity with materials data representations and ontologies.
  • Production experience with workflow orchestration and distributed compute on cloud or HPC.
  • Community recognition: invited talks, conference organizing, or community leadership in agentic AI or scientific AI.