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Vision Science information

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 conduct experiments or develop models to understand vision-related phenomena.

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 anatomy.

What job makes $10,000 a month without a degree?

In vision science, most roles require at least a degree, but some related jobs like optical sales managers or high-end opticians can earn around $10,000 monthly with experience and strong sales skills. These positions often involve managing teams, business development, or working in luxury optical settings, and may require certifications or specialized training rather than a formal degree.

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 product development, utilizing skills in optics, visual perception, and data analysis. Additional certifications or advanced degrees may be required for certain clinical positions.

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 Washington? For Vision Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Vision Science jobs in Washington look for? The top searched job categories for Vision Science jobs in Washington are:
Vision Science jobs near you
Infographic showing various Vision Science job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 39% Full Time, 40% Part Time, 1% Temporary, 18% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Cleared Computer Vision Scientist

Cleared Computer Vision Scientist

Accenture Federal Services

Washington, DC • On-site

Full-time

Posted 22 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 430 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and public safety through technology. The Cleared Computer Vision Scientist will develop and optimize computer vision models and algorithms to provide mission value, collaborating with a team to ensure high-quality datasets and model performance.
Responsibilities:
• Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc.
• Deploy, maintain, and optimize ML models and data processes in a production environment
• Develop custom Computer Vision (CV) algorithms that translate into mission value
• Create tools to provide feedback from production ML models and data processes
• Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow).
• Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking
• Stay up to date with the latest research and advancements in the field of computer vision and deep learning
• Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets
• Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency
• Assist in the integration of computer vision algorithms into production systems and applications
• Document code, methodologies, and experimental results
Qualifications:
Required:
• Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Proficiency with programming languages such as Python, C/C++ or Rust
• Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks
• Strong analytical and problem-solving skills
• Ability to work collaboratively in a team environment and take direction from senior team members
• Hands-on experience with developing computer vision models at scale from inception to business impact
• Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• U.S. Citizenship (No Dual citizenship)
• Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance
Preferred:
• Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
• Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
• Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
• Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
• Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar)
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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