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Phd Vision Science Jobs in Indiana (NOW HIRING)

Elanco

Advisor R&D

Indianapolis, IN · On-site

As the Senior Machine Learning & Computer Vision Scientist, you will accelerate Elanco's R&D ... PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics ...

CYNET SYSTEMS

Medical Scientific Liaison

Indianapolis, IN · On-site

$106 - $111/hr

Advanced degree (PhD, MD, PharmD, MSN, BSN) + 3-5 years relevant experience. * Strong knowledge of ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

CYNET SYSTEMS

Medical Scientific Liaison

Indianapolis, IN · On-site

$106.59 - $111.59/hr

Advanced degree (PhD, MD, PharmD, MSN, BSN) + 3 5 years relevant experience. Strong knowledge of ... Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA ...

Bangs Labs, Inc.

R&D Scientist

Indianapolis, IN

Applicants possessing a PhD with 3 years of relevant experience, a Master's degree with 5 years of ... Vision Dental Plans Healthcare, Dependent care, & Commuter Flexible Spending Accounts 401(k) with ...

Indiana Packers Corporation

R&D Meat Scientist

Delphi, IN · On-site

$90 - $120/hr

... Animal Science, or related discipline; Master's or PhD preferred * Minimum of 3-5 years of ... Specific vision abilities required by this job include close vision and distance vision. Ability to ...

Yoh,-A-Day-

Principal Research Scientist

Westfield, IN · On-site

$150 - $170/hr

PhD or Master's degree in Pharmaceutical Sciences, Biochemistry, Chemical Engineering, or a highly ... Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) * Health ...

Amrize

Principal Materials Scientist

Fishers, IN · On-site

PhD in Materials Science, Polymer Chemistry, Physical Chemistry, or a closely related highly ... Vision and other Voluntary benefits and discounts * Paid time off & paid holidays * Paid Parental ...

Elanco

Sr Research Scientist

Indianapolis, IN · Hybrid

$94K - $120K/yr

At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose ... PhD in Analytical Chemistry, Pharmacy, Pharmaceutical Sciences, or a related field with a minimum ...

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Phd Vision Science information

What is a PhD in Vision Science?

A PhD in Vision Science is an advanced research degree focused on the study of visual systems, including how vision works and how visual disorders are diagnosed and treated. Students in these programs explore topics such as ocular anatomy, visual perception, neuroscience, and eye diseases. Graduates often pursue careers in academia, clinical research, optometry, or the development of new vision technologies. The program typically involves both coursework and original research leading to a dissertation.

What are the key skills and qualifications needed to thrive as a PhD in Vision Science?

To thrive as a PhD in Vision Science, you need advanced knowledge of ocular anatomy, physiology, optics, research methodology, and often experience in clinical or laboratory settings. Proficiency with data analysis tools (such as MATLAB or Python), imaging systems, and scientific publishing platforms is typically required. Strong critical thinking, problem-solving, and effective communication skills distinguish successful professionals in this field. These skills are essential for conducting high-quality research, driving innovation, and effectively sharing findings with both scientific and clinical communities.

What are some typical research collaborations for someone in a PhD Vision Science role?

PhD Vision Science professionals often work closely with interdisciplinary teams that include optometrists, ophthalmologists, neuroscientists, and engineers. Collaborations frequently involve designing and conducting experiments, sharing data, and co-authoring publications to advance understanding of visual processes and eye diseases. These partnerships can extend to industry settings—such as developing vision correction technologies or diagnostic tools—offering diverse opportunities to broaden your research impact and professional network.

What is the difference between Phd Vision Science vs Optometrist?

AspectPhd Vision ScienceOptometrist
Required CredentialsPhD in Vision Science or related fieldDoctor of Optometry (OD) license
Work EnvironmentResearch labs, academia, industryClinical settings, private practices, clinics
Industry UsageResearch, product development, academiaPatient eye care, vision testing, prescriptions

While both roles focus on vision, a Phd Vision Science primarily involves research and development in vision-related fields, whereas an Optometrist provides clinical eye care and prescriptions. The PhD is research-oriented, often in labs or academia, while optometrists work directly with patients in clinical settings.

What can I do with a Phd vision science degree?

A PhD in vision science prepares individuals for research, academia, and advanced roles in vision-related industries such as ophthalmology, optometry, and biomedical device development. Graduates often work as university professors, research scientists, or in industry roles involving vision technology, requiring skills in data analysis, experimental design, and scientific communication.

What are popular job titles related to Phd Vision Science jobs in Indiana?

For Phd Vision Science jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Phd Vision Science jobs in Indiana look for?

The top searched job categories for Phd Vision Science jobs in Indiana are:

What cities in Indiana are hiring for Phd Vision Science jobs?

Cities in Indiana with the most Phd Vision Science job openings:

Phd Vision Science jobs near you
Infographic showing various Phd Vision Science job openings in Indiana as of August 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 94% In-person, 4% Hybrid, and 2% Remote job distribution.

Advisor R&D

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

Full-time

Medical, Vision, Life, Retirement, PTO

Posted 13 days ago

Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

50th of 86 rated pharmaceutical

Job description

At Elanco (NYSE: ELAN) - it all starts with animals!
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals' lives better makes life better - join our team today!
Senior Machine Learning & Computer Vision Scientist - R&D
Your Role:
As the Senior Machine Learning & Computer Vision Scientist, you will accelerate Elanco's R&D portfolio by turning proprietary scientific data into predictive models that guide drug discovery and development decisions. You will partner with discovery and development scientists to build machine learning and computer-vision models on molecular, in vitro, ADMET, and imaging data to support target identification, molecular optimization, digital biomarkers, and endpoint prediction for animal health.
Your Responsibilities:
  • Lead ML/CV work for key R&D programs, partnering with scientists to turn target identification, molecular optimization, in vitro analysis, ADMET, and biomarker questions into modeling problems with clear success criteria.
  • Design, build, and validate advanced ML and computer-vision models-including CNNs, transformers, graph neural networks, and generative approaches-on multi-modal data (molecular, assay, imaging, behavioral) to deliver reliable predictions and classifications.
  • Shape data collection, annotation, and synthetic data usage by working with experimental teams on capture protocols, labeling standards, and quality checks; evaluate synthetic data and augmentation to strengthen sparse datasets while managing bias and risk.
  • Operationalize models in R&D workflows by integrating them with tools used by scientists-including building and deploying models in Databricks-and influencing standards for reproducibility, documentation, monitoring, and model governance.
  • Provide technical leadership and mentorship by guiding junior scientists, leading cross-functional modeling initiatives, and clearly communicating technical concepts and results to diverse stakeholders.

What You Need to Succeed (minimum qualifications):
  • Education & baseline experience: PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics, Bioinformatics, Computational Chemistry), or a Master's degree with substantial hands-on ML/CV experience.
  • Applied ML/CV experience: 7+ years of industry experience building and deploying ML and computer-vision models for scientific problems in biomedical, pharmaceutical, or related domains, with demonstrated impact and close collaboration with wet-lab or clinical teams.
  • Technical and collaboration skills: Strong Python skills and proficiency with modern ML/CV libraries (e.g., PyTorch, TensorFlow, scikit-learn, OpenCV), solid understanding of statistics and experimental design, and proven ability to work and communicate effectively in cross-functional, matrixed environments.

What will give you a competitive edge (preferred qualifications):
  • Domain expertise and impact: Experience in animal health, pharmaceutical, or biotech R&D, with a record of impactful ML/CV applications (e.g., chemoinformatics, bioinformatics, digital biomarkers) shown through projects, publications, or patents.
  • Advanced technical depth and platforms: Hands-on expertise with methods such as neural networks and generative models, plus practical experience operationalizing models using Databricks and MLOps tools in production-like or scaled environments.
  • Leadership and influence: Demonstrated success leading cross-functional teams, mentoring junior scientists, and influencing scientific and technical decisions in complex, global organizations.

Additional Information:
  • Travel: Up to 10%
  • Location: Indianapolis, IN, USA

Don't meet every single requirement? Studies have shown underrepresented groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!
Elanco Benefits and Perks:
We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:
  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job-related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.
#LI-RH1
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job-related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

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