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Phd Human Computer Interaction Research Jobs in Madison, WI

Ametek

R&D Scientist

Madison, WI · On-site

MS or PhD in Materials Science, Engineering, Physics, or a related field (required) * 6-8 years of ... Proficiency with 3D CAD (SolidWorks preferred) * Familiarity with fabrication methods and design ...

Realta Fusion Inc.

Computational Scientist

Madison, WI · On-site

PhD in Computer Science, Applied Mathematics, Plasma Physics, or a related field + minimum of 3 years' experience in applied research. * Expert in developing state of the art numerical tools (for ...

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How much do phd human computer interaction research jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for phd human computer interaction research in Madison, WI is $23.57, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $28.56 per hour, depending on experience, location, and employer.

What is a PhD in human-computer interaction (HCI)?

A PhD in Human-Computer Interaction (HCI) is an advanced research degree focused on understanding and improving the ways people interact with computers and technology. Students in this program study interdisciplinary topics such as computer science, psychology, design, and social sciences to develop new interfaces, systems, and user experiences. Graduates are trained to conduct original research, often working on emerging technologies like virtual reality, wearable devices, or accessible computing. The goal is to make technology more usable, effective, and enjoyable for diverse users.

What are the key skills and qualifications needed to thrive as a PhD human-computer interaction (HCI) researcher?

To thrive as a PhD HCI Researcher, you need advanced knowledge in computer science, psychology, and design, typically evidenced by a doctoral degree and research experience in user-centered design or related fields. Familiarity with tools such as statistical analysis software, prototyping platforms (like Figma or Axure), and programming languages (such as Python or JavaScript) is commonly required. Strong analytical thinking, creativity, and effective communication skills help you design innovative studies and collaborate across disciplines. These capabilities are vital for developing impactful HCI solutions and advancing knowledge in technology-user interactions.

What are some common collaborations for a PhD human-computer interaction (HCI) researcher in academic or industry settings?

PhD researchers in Human-Computer Interaction frequently collaborate with multidisciplinary teams, including computer scientists, designers, psychologists, and domain experts. These collaborations are essential for developing user-centered technologies, running user studies, and publishing impactful research. In both academia and industry, HCI researchers often work with software engineers to prototype interfaces, as well as with end users and stakeholders to gather feedback and iterate on designs. Regular meetings, joint research projects, and co-authored publications are typical aspects of these collaborative efforts.

What is the difference between Phd Human Computer Interaction Research vs Human Factors Specialist?

AspectPhd Human Computer Interaction ResearchHuman Factors Specialist
Required CredentialsPhD in Human-Computer Interaction or related fieldBachelor's or Master's in Human Factors, Psychology, or Engineering
Work EnvironmentAcademic, research labs, industry R&D teamsIndustrial settings, usability labs, consulting firms
Industry UsageAcademic research, product design, user experience innovationUsability testing, safety analysis, ergonomic design

While both roles focus on optimizing human interaction with technology, Phd Human Computer Interaction Research primarily involves academic and research-oriented work, developing new theories and prototypes. Human Factors Specialists tend to apply these principles in practical settings, ensuring products are safe, usable, and ergonomic in industry environments.

What can you do with a PhD in human-computer interaction?

A PhD in human-computer interaction prepares individuals for research, design, and development roles focused on improving user experience, usability, and interface design. Graduates often work in academia, industry research labs, or technology companies, utilizing skills in user-centered design, prototyping, and data analysis to create innovative digital solutions.

What job categories do people searching Phd Human Computer Interaction Research jobs in Madison, WI look for?

The top searched job categories for Phd Human Computer Interaction Research jobs in Madison, WI are:

What cities near Madison, WI are hiring for Phd Human Computer Interaction Research jobs?

Cities near Madison, WI with the most Phd Human Computer Interaction Research job openings:

Phd Human Computer Interaction Research jobs near you
Infographic showing various Phd Human Computer Interaction Research job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $49,019 per year, or $23.6 per hour.

Scientist, Computational Chemist & MLOps Engineer

Arrowhead Pharmaceuticals

Madison, WI • On-site

$100K - $125K/yr

Full-time

Re-posted 26 days ago

Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.
Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.
Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.
The Position
We are seeking a highly motivated computational scientist to join our research organization and contribute to machine learning-driven drug discovery efforts. This role will focus on data engineering, statistical modeling, bioinformatics, and scientific software development supporting internal therapeutic design programs. The ideal candidate combines strong quantitative reasoning with practical software engineering skills and is comfortable operating independently in a Linux-based research computing environment.
This position may be filled at the Scientist I - III level depending on experience and qualifications.
Responsibilities
  • Develop and apply statistical and machine learning models to experimental datasets
  • Design, maintain, and optimize scientific databases and data processing pipelines
  • Build reproducible computational workflows for bioinformatics and drug discovery applications
  • Analyze high-dimensional biological datasets and communicate findings to multidisciplinary teams
  • Contribute production-quality Python code and maintain version-controlled scientific software
  • Operate effectively in Linux/HPC environments, including remote systems and cloud-based infrastructure
  • Write clear, maintainable, and testable scientific code
  • Debug complex computational and data issues independently
  • Operate effectively in terminal/Linux-native workflows
  • Apply statistically rigorous thinking to experimental interpretation
  • Maintain reproducibility and software engineering discipline in research environments
  • Partner with scientists across biology, chemistry, bioinformatics, and computational research groups
  • Support development of internal computational platforms and modeling infrastructure
  • Document workflows, analyses, and software according to reproducible research standards
  • Mentor junior team members and contribute to technical best practices (Scientist II/III)

Requirements
Scientist I
  • Bachelor's or Master's degree in Bioinformatics, Biostatistics, Computational Biology, Computer Science, Data Science, Applied Mathematics, or related field
  • Strong programming experience in Python
  • Experience working in Linux command-line environments
  • Foundational understanding of statistics and machine learning methods
  • Experience handling structured and unstructured biological datasets
  • Familiarity with source control tools such as Git

Scientist III (In addition to the above)
  • Advanced degree (PhD preferred) or equivalent industry experience
  • Demonstrated history of leading computational projects independently
  • Strong background in applied statistics, predictive modeling, and experimental data interpretation
  • Experience mentoring scientists or leading technical initiatives
  • Ability to translate ambiguous scientific problems into robust computational solutions

Preferred
  • Experience with predictive modeling and/or deep learning methods
  • Familiarity with modern ML tooling and model evaluation methodologies
  • Experience in therapeutic design, RNA biology, genomics, or laboratory experience
  • Experience with bioinformatics workflows and sequence-based analysis
  • Experience working with large-scale biological or omics datasets
  • Experience with distributed computing systems
  • Experience operating in collaborative software development environments

Wisconsin pay range
$100,000-$125,000 USD
Arrowhead provides competitive salaries and an excellent benefit package.
Candidates must have current, valid authorization to work in the country where this role is located.
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