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Phd Vision Science Jobs in Evanston, IL (NOW HIRING)

Omnicom Media US PHD

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

PHD is a global communications planning and media buying agency network delivering smart strategic ... For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k) ...

1872 Consulting

Computer Vision Engineer

Chicago, IL · On-site

$115K - $135.60K/yr

Computer Vision Engineer We have a world-class artificial intelligence team, which has the aim to ... Bachelors, Masters or PhD in Computer Science or related quantitative field * Strong software ...

Organon

Medical Science Liaison - Chicago

Chicago, IL · On-site

PharmD, PhD, MD, NP, PA or equivalent education. * Five years clinical practice and/or ... Our Vision is clear: A better and healthier every day for every woman. US and PR Residents Only For ...

Organon

Medical Science Liaison - Chicago

Chicago, IL · On-site

PharmD, PhD, MD, NP, PA or equivalent education. * Five years clinical practice and/or ... Our Vision is clear: A better and healthier every day for every woman. US and PR Residents Only For ...

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$107.4K

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How much do phd vision science jobs pay per year?

As of May 28, 2026, the average yearly pay for phd vision science in Evanston, IL is $107,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $120,000.00 per year, depending on experience, location, and employer.

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

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 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 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 are popular job titles related to Phd Vision Science jobs in Evanston, IL? For Phd Vision Science jobs in Evanston, IL, the most frequently searched job titles are:
What job categories do people searching Phd Vision Science jobs in Evanston, IL look for? The top searched job categories for Phd Vision Science jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Phd Vision Science jobs? Cities near Evanston, IL with the most Phd Vision Science job openings:
Phd Vision Science jobs near you

Director, Data Science

Omnicom Media US PHD

Chicago, IL • On-site

$120K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work.
Team Overview
At PHD, we provide our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands to connect better with the customers. They process and integrate big data in data clean rooms from media advertising platforms including the first party and the third-party data and support business insights and growth solutions.
Our data scientists build advanced predictive models utilizing machine learning and advanced statistic. PHD data scientists leverage data to address various types of marketing challenges such as audience creation, segmentation, identifying audience journey, optimization, digital attribution, customer retention, customer behavior prediction, and cross channel customer experience.
The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients' business goals.
Responsibilities
External facing responsibilities:
  • Partner with Planning & Investment teams to provide expert hands-on and well as strategic Data Science support across the entire campaign lifecycle.
  • Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers
  • Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)
  • Help develop strategic analytical roadmaps to institutionalize data driven outcomes
  • Excellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence
  • Leverage technical (coding) expertise to help bring about process efficiencies

Internal facing responsibilities:
  • Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences
  • Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision
  • Lead and train direct reports and manage their career progression

Required Skills
  • Hands-on programming language skills (SQL, Python, R, etc)
  • Experienced in machine learning techniques, causal models, etc. to support the analysis of information
  • Advanced presentation and communication skills
  • Experience working with non-technical teams
  • Clear understanding of digital clean rooms, and their related concepts and strategy
  • Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
  • Expert-level domain knowledge of business/industry

Education and Experience
  • A university degree in mathematics, computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
  • Knowledge of agency-side execution process is desirable, but not required

#LI-CC2
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$120,000-$175,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
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