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Vision Scientist Jobs in Indiana (NOW HIRING)

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 ...

Wetland Scientist

Indianapolis, IN · On-site

$74K - $130K/yr

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... Parsons is now hiring a Wetland Scientist for our rapidly expanding portfolio of environmental ...

Wetland Scientist

Indianapolis, IN · On-site

$74K - $130K/yr

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... Parsons is now hiring a Wetland Scientist for our rapidly expanding portfolio of environmental ...

Materials Scientist We are seeking a dedicated Materials Laboratory Chemist to support product ... Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre ...

Materials Scientist We are seeking a dedicated Materials Laboratory Chemist to support product ... Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre ...

... Scientist to provide engineering and technical support to assist our government customer with the ... You will demonstrate competent knowledge of Linux systems, computer vision and camera operations.

Inotiv is seeking a Formulation Scientist to join our collaborative and fast-paced team. This ... Full benefits within 30 days of hire: medical, dental, vision * 401(k) with 1% employer match * 23 ...

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Showing results 1-20

Vision Scientist information

See Indiana salary details

$48.1K

$106K

$130.8K

How much do vision scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for vision scientist in Indiana is $105,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,900.00 and $130,400.00 per year, depending on experience, location, and employer.

What is a vision scientist?

A Vision Scientist studies the principles of vision, including how humans and machines process visual information. They apply knowledge from neuroscience, psychology, computer vision, and optics to develop technologies like augmented reality, artificial vision systems, and medical diagnostics. Vision Scientists work in diverse fields, such as academia, healthcare, and tech industries, improving visual perception and imaging systems. Their research contributes to advancements in vision correction, automation, and human-computer interaction.

What do vision scientists do?

Vision Scientists commonly work on projects investigating how humans and animals process visual information, develop and test models of visual perception, or study vision-related disorders and their treatments. Daily tasks might include designing experiments, collecting and analyzing data from behavioral or imaging studies, and collaborating with interdisciplinary teams such as engineers, clinicians, or software developers. The work may also involve developing new diagnostic tools, contributing to product development in tech or healthcare, and publishing research findings. This dynamic mix of activities offers opportunities to contribute to innovative advancements in vision science, both in academic and industry settings.

What skills and qualifications are needed to be a vision scientist?

To thrive as a Vision Scientist, a strong background in neuroscience, optics, psychology, or a related scientific field—often with a Ph.D.—is essential, along with skills in experimental design and data analysis. Proficiency with tools such as MATLAB, Python, eye-tracking systems, imaging technologies (e.g., fMRI, OCT), and experience with scientific publishing are highly valued. Strong attention to detail, critical thinking, and collaborative communication set standout professionals apart. These skills underpin the ability to design rigorous studies, interpret complex data, and contribute impactful insights in multidisciplinary research or applied settings.

Infographic showing various Vision Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $105,950 per year, or $50.9 per hour.

Advisor R&D

Indianapolis, IN • On-site


Elanco
Pharmaceutical and Medicine Manufacturing • 5 - 10K employees

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

50th of 86 rated pharmaceutical

People enjoy working here

Good employer

Recommended by parents


Full-time

Retirement, PTO

Posted 15 days ago


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 computervision 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 computervision models-including CNNs, transformers, graph neural networks, and generative approaches-on multimodal 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 crossfunctional 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 handson ML/CV experience.
  • Applied ML/CV experience: 7+ years of industry experience building and deploying ML and computervision models for scientific problems in biomedical, pharmaceutical, or related domains, with demonstrated impact and close collaboration with wetlab or clinical teams.
  • Technical and collaboration skills: Strong Python skills and proficiency with modern ML/CV libraries (e.g., PyTorch, TensorFlow, scikitlearn, OpenCV), solid understanding of statistics and experimental design, and proven ability to work and communicate effectively in crossfunctional, 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: Handson expertise with methods such as neural networks and generative models, plus practical experience operationalizing models using Databricks and MLOps tools in productionlike or scaled environments.
  • Leadership and influence: Demonstrated success leading crossfunctional 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 jobrelated 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 jobrelated 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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