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Vision Science Jobs in Massachusetts (NOW HIRING)

Eurofins Scientific

Formulation Scientist

Boston, MA

$30 - $44/hr

Eurofins Scientific is an international life sciences company, providing a unique range of ... Comprehensive medical coverage, dental, and vision options * Life and disability insurance * 401(k) ...

New

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... Medical, Dental, Vision, & Life insurances * Fitness & Wellness programs including a fitness ...

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All JobsVision Science JobsVision Science Jobs in Massachusetts

Vision Science information

See Massachusetts salary details

$26.8K

$52.8K

$86.3K

How much do vision science jobs pay per year?

As of Aug 7, 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 can you do with a vision science degree?

A vision science degree prepares individuals for careers in research, clinical practice, or industry related to visual health, perception, and optics. Graduates can work as optometrists, vision scientists, research analysts, or in roles involving eye care technology and visual performance assessment, often requiring knowledge of optics, neuroscience, and laboratory skills.

What does a vision science do?

A vision scientist studies how the visual system processes and interprets visual information, often conducting research in areas like optics, perception, and eye health. They may work in laboratories, healthcare settings, or academia, using tools such as microscopes and imaging devices to understand visual function and develop treatments or technologies related to vision. Strong analytical skills and knowledge of biology, physics, and psychology are essential in this field.

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, data analysis, and experimental design.

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.
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:
Vision Science jobs near you
Infographic showing various Vision Science job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $52,849 per year, or $25.4 per hour.

Scientific Co-Director, Data Science and Multimodal Integration

Massachusetts Institute of Technology

Cambridge, MA • On-site

Full-time

Re-posted 10 days ago

Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

46th of 616 rated colleges and universities

Job description

Job Summary:
Massachusetts Institute of Technology is seeking a Scientific Co-Director for Data Science and Multimodal Integration to lead the development and deployment of advanced data science and AI/ML methodologies. This role involves directing research output, contributing to publications, and mentoring staff within the Koch Institute community.
Responsibilities:
• direct the development and deployment of advanced data science and AI/ML methodologies in the KI community
• maintain current understanding of data analyses and multimodal integration methods
• develop novel methods leading to expanded DSMI services
• review DSMI staff research output and direct deployment of new techniques
• significantly contribute to publications and grant applications
• direct preparation of presentations for the community
• lead development and presentation of training materials
• participate in mentorship activities
Qualifications:
Required:
• Ph.D. in computer science, computational biology, data science, or a related field with a strong emphasis on AI/ML applications
• a minimum of seven years postdoctoral or equivalent research experience applying AI, machine learning (ML), and deep learning (DL) techniques to biological data
• experience must include evidence of original or collaborative scholarship documented by publications, software, or deployed intelligent systems
• demonstrated expertise in statistical learning, ML, DL computer vision, and NLP methods applied to omics, imaging, and clinical datasets
• programming skills with experience in ML/DL frameworks
• data visualization and EDA expertise
• multi-modal data integration and representation learning across diverse data types
• shared resource and leadership or supervisory experience
Preferred:
• Experience with data governance, FAIR principles, and regulatory compliance
• knowledge of explainable AI (XAI) techniques and their application in biomedical contexts
• experience with federated learning or other advanced AI paradigms
• experience integrating AI models into pipelines
• familiarity with biomedical ontologies, knowledge graphs, or semantic data integration
Company:
The Massachusetts Institute of Technology (MIT) is a private research university located in Cambridge, Massachusetts. Founded in 1861, the company is headquartered in Cambridge, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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