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Phd Research User Experience Jobs in Rochester, NY

Paychex

Sr Back End Marketing Web Developer

Rochester, NY · On-site

$108K - $171K/yr

... researching and resolving issues to provide technical support for production. * Works collaboratively with members of the Marketing team to devise the best technical solutions to meet product, UX and ...

Paychex

Sr Back End Marketing Web Developer

Rochester, NY · Remote

$108K - $171K/yr

... researching and resolving issues to provide technical support for production. * Works collaboratively with members of the Marketing team to devise the best technical solutions to meet product, UX and ...

Varsity Tutors

Graphic Design Tutor

Rochester, NY · Remote

$18 - $40/hr

Emphasizes the design process from research through final execution and connects graphic design to branding, marketing, user experience, and visual storytelling career applications. * Curriculum ...

Cheez

Product Manager @ Social app startup

Geneseo, NY · On-site

Conduct user research, usability testing, and competitive analysis to inform product decisions and ... Minimum 2-3 years of experience in product management (or related role) * Bachelor's degree in ...

University of Rochester

Instructor

Rochester, NY · On-site

... research, teaching and academic advancement.. Our pediatric practice is Rochester's largest ... Qualifications PhD Application Instructions If you already have an Interfolio account, please sign ...

OX Group

Industrial Designer

West Henrietta, NY · Hybrid

$123K/yr

Conduct user research and field testing to uncover pain points and ergonomic opportunities ... Experience with rapid prototyping tools and techniques. * Knowledge of manufacturing processes ...

OX Group

Industrial Designer

West Henrietta, NY · On-site

$55K - $65K/yr

Conduct user research and field testing to uncover pain points and ergonomic opportunities ... Experience with rapid prototyping tools and techniques. * Knowledge of manufacturing processes ...

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All JobsPhd Research User Experience JobsPhd Research User Experience Jobs in Rochester, NY

Phd Research User Experience information

See Rochester, NY salary details

$29.6K

$111.6K

$162.3K

How much do phd research user experience jobs pay per year?

As of Sep 3, 2026, the average yearly pay for phd research user experience in Rochester, NY is $111,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $151,900.00 per year, depending on experience, location, and employer.

What does a PhD researcher in user experience do?

A PhD researcher in User Experience (UX) investigates how people interact with digital products, services, or systems to improve their usability, accessibility, and overall satisfaction. Their work often involves conducting user studies, analyzing user behavior, and developing new theories or methods to enhance the user experience. They may also collaborate with designers, developers, and other stakeholders to apply their research findings in real-world applications. The goal is to advance the field of UX through original research and contribute to both academic knowledge and practical solutions.

How does a PhD researcher in user experience typically collaborate with product and engineering teams?

PhD Researchers in User Experience often work closely with product managers, designers, and engineers to ensure research insights are directly incorporated into product development. They may participate in cross-functional meetings, share findings through presentations or reports, and help define user requirements based on empirical data. This collaborative approach helps bridge the gap between academic research and practical application, ensuring the end product aligns with user needs while meeting business goals.

What are the key skills and qualifications needed to thrive as a PhD research user experience professional?

To excel as a PhD Research User Experience professional, you need advanced knowledge of UX research methodologies, strong analytical skills, and typically a PhD in human-computer interaction, psychology, or a related field. Familiarity with qualitative and quantitative research tools, statistical analysis software (such as SPSS or R), and usability testing platforms is common. Exceptional communication, problem-solving, and collaboration skills help translate research insights into actionable design improvements. These competencies are vital for producing rigorous, impactful research that drives user-centered product innovation.

What is the difference between Phd Research User Experience vs User Experience Designer?

AspectPhd Research User ExperienceUser Experience Designer
CredentialsPhD in Human-Computer Interaction, Psychology, or related fieldBachelor's or Master's in Design, Human Factors, or related field
Work EnvironmentAcademic or research institutions, labs, or corporate R&DDesign agencies, tech companies, startups, or corporate teams
Industry UsagePrimarily in research, academia, or corporate research divisionsProduct development, digital interfaces, and user-centered design projects

Phd Research User Experience professionals focus on conducting in-depth research, user studies, and developing theories about user behavior, often within academic or research settings. In contrast, User Experience Designers apply research insights to create and improve digital products, focusing on usability and visual design. Both roles require understanding user needs but differ in their primary objectives and work environments.

What are popular job titles related to Phd Research User Experience jobs in Rochester, NY?

For Phd Research User Experience jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Phd Research User Experience jobs in Rochester, NY look for?

The top searched job categories for Phd Research User Experience jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Phd Research User Experience jobs?

Cities near Rochester, NY with the most Phd Research User Experience job openings:

Phd Research User Experience jobs near you
Infographic showing various Phd Research User Experience job openings in Rochester, NY as of August 2026, with employment types broken down into 73% Full Time, 3% Part Time, 2% Temporary, and 22% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $111,594 per year, or $53.7 per hour.

Quantitative Trading & Research - SPG - Associate

JPMorgan Chase & Co.

Rochester, NY • On-site

$150 - $230/hr

Other

Posted 2 days ago

New

Key responsibilities

  • Develop and support advanced financial models for RMBS to assist in trading, hedging, and risk assessment.

  • Perform data queries, processing, and machine learning analysis for RMBS prepayment and credit modeling.

  • Design and implement analytical tools to monitor model performance and market conditions in RMBS.

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks

Job description

The Securitized Products Group (SPG) Quantitative Trading & Research (QTR) team is a high-performing quantitative modeling organization focused on Residential Mortgage-Backed Securities (RMBS) and related structured products. The group develops and maintains agency and non-agency RMBS models and analytical tools used to support CIB trading and research. These prepayment and credit/default models also support RMBS and mortgage loan valuation and risk management across JPMorganChase, including the Mortgage Bank, Chief Investment Office, and Asset & Wealth Management. Selected analytics are delivered to external clients via OASis and BondStudio.

Job Summary:

As an Associate in the Securitized Products Group (SPG) Quantitative Trading & Research Team (QTR), you will sit within the non-agency RMBS modeling team and partners closely with SPG trading desks to support modeling, valuation, market-making, and risk assessment. You will help drive the modernization of credit modeling by applying machine learning and generative AI across the model development lifecycle, including data processing and exploration, model calibration, performance monitoring, and delivery of analytics and reporting tools. You will collaborate with stakeholders across business, technology, market risk, and other partner teams to develop new models and enhance existing capabilities, improve understanding of model behavior and trading insights, ensure robust model infrastructure and controlled usage, and provide subject matter expertise, training, and guidance to internal users and external clients.

Job Responsibilities:
  • Develop and support advanced financial models for RMBS, enabling business portfolio management, trading, hedging, and risk assessment.
  • Conduct model back-testing, performance tracking, and provide business insights to inform portfolio management and trading strategies.
  • Perform large-scale data queries, processing, and machine learning (ML) analysis for RMBS prepayment and credit modeling using high-quality calibration data.
  • Build and optimize robust platforms for large-scale data analysis to support various modeling initiatives.
  • Develop new models and analytical tools, and implement them within our advanced, high-performing mortgage loan/bond pricing and analytics framework.
  • Design and implement analytical tools to monitor model performance and market conditions in Residential Mortgage-Backed Securities (RMBS), enhancing business decision-making processes.
  • Oversee the maintenance and enhancement of existing infrastructure used for valuation and hedging of financial transactions.
  • Provide support to internal and external clients regarding model usage, addressing inquiries and facilitating training as needed.
  • Collaborate closely with risk and model review groups to ensure proper model usage, conduct model reviews, and implement effective risk controls.
Required Qualifications, Capabilities, and Skills:
  • Strong quantitative educational background: Master’s or PhD degree in a quantitative field.
  • Advanced modeling skills in developing machine learning (ML), statistical, or econometric models, preferably with applications in financial fields.
  • Strong programming skills in Python (C++ is a plus); proficiency in statistical Python packages such as NumPy, Pandas, and stats packages (StatsModels, scikit-learn, SciPy, etc.) for data manipulation and statistical analysis.
  • Experience working with large-scale databases (e.g., PostgreSQL, Redshift) for machine learning analysis and modeling is desirable.
  • Experience in data analysis focused on mortgage and loan performance datasets, specifically analyzing prepayment and credit historical data at the loan or facility level, is desirable.
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