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Vision Science Jobs in Massachusetts (NOW HIRING)

Faculty - School of Optometry

Worcester, MA · On-site

$16.25 - $20.25/hr

Subject matters may include Vision Science, Bioscience, Low Vision, or Optometric Theory & Methods, as well as clinical supervision. Rank and salary will be commensurate with education and experience.

Strategic Vision & Product Partnership * Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in ...

Bachelor's degree or higher in computer science, electrical engineering, robotics, ora relatedfield. Work Experience * 5+ years of industry experiencedeveloping and deploying computer vision or ...

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Vision Science information

See Massachusetts salary details

$26.8K

$52.8K

$86.3K

How much do vision science jobs pay per year?

As of Jul 27, 2026, the average yearly pay for vision science in Massachusetts is $52,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $56,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vision Scientist, and why are they important?

To thrive as a Vision Scientist, you need a strong background in biology, optics, neuroscience, and experimental design, typically supported by a PhD or advanced degree in vision science or a related field. Familiarity with laboratory equipment, statistical analysis software (such as MATLAB or Python), and imaging systems is essential. Strong analytical thinking, attention to detail, and effective communication skills enable successful research and collaboration. These competencies are crucial for advancing knowledge in visual perception and developing applications in healthcare and technology.

What is the difference between Vision Science vs Optometrist?

AspectVision ScienceOptometrist
Required CredentialsTypically requires a master's or PhD in vision science or related fieldRequires Doctor of Optometry (OD) degree and licensure
Work EnvironmentResearch labs, universities, industry settingsPrivate practices, clinics, healthcare facilities
Industry UsageResearch, product development, academiaPatient eye care, vision testing, prescribing corrective lenses

Vision Science and Optometrists both focus on eye health and vision, but differ in their roles. Vision Science primarily involves research and development in vision-related fields, requiring advanced degrees and working in academic or industry settings. Optometrists, on the other hand, are healthcare professionals providing direct patient care, requiring a Doctor of Optometry degree and licensure. Understanding these differences helps clarify career paths and job expectations in the eye care industry.

What is vision science?

Vision science is an interdisciplinary field that studies how visual systems process information. It encompasses research on the anatomy, physiology, and functioning of the eyes and brain, as well as optical, computational, and psychological aspects of vision. Vision scientists work to understand how we perceive visual information, how visual disorders arise, and how technology can enhance or restore vision. Careers in vision science may involve research, clinical practice, or developing new diagnostic and corrective tools.

What does a vision scientist do?

A vision scientist researches how the visual system processes information, studying aspects like visual perception, eye function, and neural mechanisms. They often work in laboratories or academic settings, using tools such as eye trackers and imaging technology, and may require knowledge of biology, psychology, or optics.

What can you do with a Vision Science degree?

A Vision Science degree prepares individuals for careers in eye care, research, and vision technology. Graduates can work as optometrists, vision researchers, ophthalmic technicians, or in roles involving visual perception and eye health, often requiring clinical skills and knowledge of optics and neuroscience.

What can I do with a master's in Vision Science?

A master's in Vision Science prepares individuals for roles such as vision researcher, optometric technician, or vision scientist in clinical, research, or industry settings. Graduates often work in eye care clinics, research laboratories, or with companies developing visual technologies, utilizing skills in optics, neuroscience, and data analysis.

What are some typical collaborative projects a Vision Science professional might work on with other departments?

Vision Science professionals frequently collaborate with teams in ophthalmology, neurology, psychology, and engineering, depending on the setting. For example, they may work closely with ophthalmologists to develop and test new diagnostic tools, partner with engineers to refine visual aids or imaging technologies, or collaborate with psychologists to study visual perception and cognition. These interdisciplinary projects help broaden the impact of their research and often lead to innovative solutions in visual health and technology.

Is Vision Science hard?

Vision Science as a field involves understanding complex biological and psychological processes related to vision, often requiring knowledge of biology, physics, and research methods. It can be challenging due to the technical nature of the subject and the need for analytical skills, but with dedication and proper training, it is manageable for motivated students and professionals.
What are popular job titles related to Vision Science jobs in Massachusetts? For Vision Science jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Vision Science jobs in Massachusetts look for? The top searched job categories for Vision Science jobs in Massachusetts are:
Infographic showing various Vision Science job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $52,849 per year, or $25.4 per hour.
Senior Scientist, Computer Vision & Robotics

Senior Scientist, Computer Vision & Robotics

Charles River Analytics

Cambridge, MA • On-site

$170K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world's most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We'd love to hear from you!
We're excited to offer a career-defining opportunity for a senior scientist with a deep passion and expertise in computer vision, machine learning, and image processing. Dive into diverse projects, from enhancing autonomous systems to pioneering health diagnostics to impactful image analysis, and lead our drive to deploy intelligent systems that solve real-world challenges. At Charles River Analytics, you will develop and apply concepts crossing multiple fields including computer vision, machine learning, signal processing, and state estimation. You will work in tightly-knit, project-oriented teams as a Principal Investigator with other scientists and engineers to create prototypes of new research concepts that can be further developed into deployable products. You will have the opportunity to design and execute your own R&D programs and pursue your own technical interests by building a portfolio of new work. You will also have the opportunity to attend conferences, have your work published, and lead efforts to deploy state-of-the-art technology into the field.
How will you make an impact?
  • Design new methods or apply existing methods from the literature to solve challenging problems across a range of sensing and perception-based applications in the applied robotics, overhead sensing, and physiological systems domains
  • Formulate novel concepts including new research thrusts underpinning product roadmaps
  • Guide prototype development while engaging with end-user communities and industry/academic partners to mature the company's technology for field deployment
  • Coach and mentor other computer vision scientists/engineers
  • Present your work to customers, collaborators, and the research community through papers, reports, and demonstrations
  • Generate proposals for development and deployment of advanced computer vision capabilities

What do you need?
  • B.A./B.S. in Computer Science, Engineering, Physics, or related area. Master's or Ph.D. in a technical discipline preferred
  • 5+ years in classical computer vision techniques, machine learning methods and tools including deep learning, associated frameworks (e.g., PyTorch, TensorFlow, Keras), signal processing modalities (e.g., EO/IR, sonar, radar, lidar, acoustic, LDV), or related. 10+ years of experience preferred.
  • Demonstrated proficiency in hands-on software development, particularly with Python and C++
  • Experience with robotic and autonomous systems
  • Experience directly interacting with customers and users
  • Experience running programs as a principal investigator and generating new business
  • Experience translating user needs and system features into actionable requirements for engineering teams to implement technical solutions
  • Experience generating proposals, publications, and similar written materials
  • Strong analytical and problem-solving skills, with a knack for tackling complex challenges and crafting innovative solutions
  • Flexibility and a dedication to ongoing learning with an eagerness to keep pace with evolving technology trends
  • Leadership and mentorship qualities with a proven ability to guide projects and nurture the growth of junior team members
  • US Citizenship with an ability to obtain a US Government security clearance
  • Ability to work on a hybrid schedule with at least 60% in-office presence at our Cambridge headquarters.

Our ideal candidate has:
  • Experience with systems engineering, requirements analysis, and system level design.
  • Experience with CI/CD pipelines or modern DevOps/DevSecOps methodologies.
  • Experience with containerization (Docker) and orchestration (Kubernetes, Helm)
  • Experience integrating complex software systems into larger systems (APIs, communication).
  • Familiarity with tools such as OpenCV, PyTorch, TensorFlow, and CUDA.
  • Experience with data engineering practices and management of large datasets.
  • Experience preparing technical deliverables such as specifications, reports, or contributions to academic publications.

Salary Range
$170,000 - $220,000
The above salary range is an estimate based on the internal job level(s) for which this role is being considered. The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications. This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee at Charles River Analytics.
Why Charles River?
Charles River Analytics thrives on collaboration and values each team member. We offer competitive compensation plus bonus and retirement contribution, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. We are also accessible by public transportation. Charles River became an employee-owned company in 2012, to set the stage for the next-generation of innovation, service, and growth in R&D. As we entered 2026, we joined forces with GRVTY, gaining the scale and capacity to transition, field, and sustain our innovations faster and more effectively than ever before.