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Internship Color Science Jobs in Boston, MA (NOW HIRING)

Previous internship/co-op experience in industrial automation, lab automation, or R&D industries ... We're All In Lila Sciences is committed to equal employment opportunity regardless of race, color ...

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Internship Color Science information

What types of projects and responsibilities can I expect during an internship in color science?

As a Color Science intern, you can expect to work on projects involving color measurement, calibration, and analysis for various products such as displays, printers, or textiles. Your daily tasks may include collecting and analyzing color data, assisting in experiments to improve color accuracy, and collaborating with engineers or designers to solve real-world color challenges. Interns often work closely with experienced color scientists and may contribute to research, documentation, or development of new color technologies. This role offers hands-on experience with industry-standard instruments and software, providing valuable insights into both the technical and collaborative aspects of color science.

What is the difference between Internship Color Science vs Color Analyst?

AspectInternship Color ScienceColor Analyst
Required CredentialsTypically pursuing or recent graduate in color science, chemistry, or related fieldOften requires degree in color science, chemistry, or related discipline; certifications may enhance prospects
Work EnvironmentInternship setting, often in labs or R&D departmentsProfessional environment, including labs, manufacturing, or quality control
Employer & Industry UsageUsed by companies in textiles, cosmetics, printing, and manufacturing for training and entry-level rolesEmployed in industries like textiles, printing, and manufacturing for color quality analysis

Internship Color Science provides hands-on experience for students or recent graduates, focusing on learning and skill development. In contrast, a Color Analyst is a professional role requiring more experience and responsibility in analyzing and ensuring color quality. Both roles are integral in industries where color accuracy is critical, but internships serve as a stepping stone toward becoming a full-fledged color analyst.

What is an internship in color science?

An Internship in Color Science is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with color measurement, perception, and technology. Interns may assist in research, laboratory experiments, data analysis, or product development related to color in fields like imaging, printing, textiles, and digital media. This role helps build foundational skills and industry knowledge, providing valuable exposure to real-world color science applications and potential career paths.

What are the key skills and qualifications needed to thrive as an internship in color science, and why are they important?

To thrive as an intern in Color Science, you generally need a background in physics, chemistry, or engineering with knowledge of color theory and colorimetry. Familiarity with color measurement instruments, image processing software, and programming languages such as MATLAB or Python is often required. Strong analytical thinking, communication skills, and attention to detail help interns excel in collaborative, research-driven environments. These skills ensure accurate data analysis and effective teamwork, both critical for advancing color science projects.
Infographic showing various Internship Color Science job openings in Boston, MA as of August 2026, with employment types broken down into 11% Internship, 67% Full Time, and 22% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.

Co-Op, Software Product Management

Lila Sciences

Cambridge, MA • On-site

Full-time

Re-posted 22 days ago


Job description

Your Impact at LILA
Lila is looking for a Fall Co-Op (Intern), Software Product Management to support software and workflow improvements across our scientific software platform.
This role sits at the intersection of scientists, software engineering, and product. The co-op will shadow users, help translate recurring workflow needs into clear product requirements, and support the team's work to connect designs, data, results, and learnings across scientific workflows.
The role is well suited for someone interested in product management, scientific operations, lab software, or data systems. The co-op will gain hands-on exposure to how scientific workflows become software requirements, while owning a small scoped feature or workflow improvement from discovery through delivery.
What You'll Be Building
  • Shadow scientists and other users to understand their software and workflow needs.
  • Help groom product backlogs with product, science, and engineering partners.
  • Write clear user stories and acceptance criteria from ambiguous requirements.
  • Support connecting designs, data, and results across scientific workflows.
  • Triage recurring user asks and convert them into actionable tickets.
  • Own a small scoped feature or workflow improvement from discovery through delivery.
  • Partner with engineers and scientists to clarify requirements, acceptance criteria, and workflow impact.

What You'll Need to Succeed
  • Interest in product management, scientific workflows, lab operations, or software systems.
  • Strong written communication skills and ability to turn ambiguity into clear requirements.
  • Comfort working with cross-functional partners across science, product, and engineering.
  • Ability to observe workflows, ask thoughtful questions, and synthesize user needs.
  • Organized approach to tracking tasks, decisions, and follow-ups.
  • Curiosity about how software can improve experimental throughput, traceability, and data quality.

Bonus Points For
  • Experience with product backlogs, user stories, or acceptance criteria.
  • Exposure to scientific data systems, lab software, or workflow tools.
  • Prior internship, coursework, or project work involving product, operations, or software delivery.

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.