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Phd Vision Science Jobs in Texas (NOW HIRING)

... leaders to champion this vision. The Director, Data Science will lead efforts across ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

Medical Science Liaison

Houston, TX · On-site

$190 - $210/hr

Advanced degree preferred (e.g., PharmD, PhD, MD, DNP, PA, or equivalent) * 2+ years' experience ... vision, company match 401k, flexible paid time off (PTO) and sick time. Because certain states and ...

$192K - $264K/yr

Advanced scientific degree (PharmD, PhD, MD, or equivalent) * Minimum 10 years of pharma/biotech ... Comprehensive benefits package including medical, dental, vision insurance, 401(k) retirement plan ...

Staff Scientist

Houston, TX · On-site

$159K - $210K/yr

Advanced degree (Masters or PhD) in an empiric science or professional field * Minimum 12 years ... and vision coverage for employees and dependents, generous paid time off; up to 20+ days of ...

Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or ... medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) ...

PhD in Statistics, Biostatistics, Bioinformatics, Computer Science, or a related quantitative field ... In addition to this valuable benefit, you'll also be eligible for dental and vision insurance ...

The Services Data Science & Analytics organization is passionate about developing discerning ... You will also be instrumental in defining the technical vision, strategy, and execution roadmap for ...

Design and develop scalable machine learning, deep learning, computer vision, optimization, and ... A PhD in a related quantitative field * Experience applying data science in product quality ...

Showing results 21-40

Phd Vision Science information

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 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 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 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 cities in Texas are hiring for Phd Vision Science jobs? Cities in Texas with the most Phd Vision Science job openings:
Infographic showing various Phd Vision Science job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 94% In-person, 2% Hybrid, and 4% Remote job distribution.

Director, Data Science

Gartner

Irving, TX • On-site

Other

Medical, Retirement, PTO

Re-posted 20 days ago


Job description

About the Role
This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with Gartner to unlock value. Our clients are IT and business leaders worldwide, relying on the platform embedded in their workflows for critical priorities. Our mission is to accelerate innovation through intelligent digital products that disrupt the market and ourselves - constantly seeking data science leaders to champion this vision.

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and business outcomes.

What You Will Do

  • Lead the data science roadmap spanning personalization, recommendation systems, and GenAI chatbot development, owning strategy for user profiling, content matching, ranking, conversational AI, and next-best-action systems.
  • Architect AI-powered chatbot systems including intelligent search, recommendation engines, context-aware retrieval, and Model Context Protocol (MCP) servers for seamless AI agent integration with enterprise systems and external tools.
  • Apply transformer-based models, LLMs, and advanced techniques to enhance recommendation relevance, search optimization, user personalization, and scalable GenAI solutions.
  • Leverage internal and external data to model client company priorities, competitive landscapes, engagement signals, and deliver targeted support.
  • Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value.
  • Lead a team of data scientists, driving enhancements in accuracy, coverage, latency, scalability, stability, and adoption while maintaining strong MLOps practices.
  • Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence senior leadership on long-term vision and solution roadmaps.
  • Stay current on fast-moving AI/ML advancements, particularly LLMs, conversational AI, agentic systems, and transformer architectures.

What You Will Need

  • 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams.
  • Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.
  • Proven leadership developing personalization systems, recommendation engines, search/ranking solutions, conversational AI, chatbots, and GenAI applications powered by transformer-based models and LLMs.
  • Demonstrated success translating business priorities into technical roadmaps, driving cross-functional execution, and delivering production ML systems with clear business impact.
  • Strong communication skills to influence executives, translating complex analysis into compelling strategies and value propositions.
  • Deep expertise in ML lifecycle, Lean product principles, MLOps, experimentation frameworks, and production recommender/GenAI systems.
  • Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face, LangChain), SQL/relational databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate), distributed ML (Spark), Linux/shell scripting, and cloud platforms (AWS SageMaker, Azure ML).
  • Working experience in: Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.
  • Collaborative leader who thrives in feedback-driven cultures with bias for action and client outcomes.

What You Will Get

  • Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
  • Collaborative, team-oriented culture that embraces diversity.
  • Professional development and unlimited growth opportunities.

#LI-CW4

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 122,000 USD - 168,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email toApplicantAccommodations@gartner.com.

Job Requisition ID:108588

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