Senior Human Factors Researcher

Oura Oura · Consumer · San Francisco, CA +1 · Design

Senior Human Factors Researcher for Oura, focusing on the physical interaction, comfort, and fit of wearable hardware. This role involves translating human data into design requirements and collaborating with design and engineering teams.

What you'd actually do

  1. Own end-to-end research. Plan and conduct human factors and ergonomics evaluations across the full product lifecycle, focused on how users physically interact with wearable hardware and how form factor choices perform against the underlying human data.
  2. Collaborate deeply across functions. Work closely with industrial and product designers, fellow human factors researchers, electrical and mechanical engineers, and program management so that form factor evaluations answer the questions that matter most for the product.
  3. Translate data into design requirements. Convert anthropometric and human modeling findings into concrete, actionable parameters, sensor placement, sizing, geometry, and materials.
  4. Deliver insights that drive decisions. Produce high-impact findings that directly shape hardware decisions and support critical product validation milestones.
  5. Champion human factors and human modeling. Advocate for the value of human factors in the design and development process. Utilize human modeling data in form factor evaluations, sizing, and, helping non-technical teams interpret and apply it confidently to their workflows.

Skills

Required

  • Master's or Ph.D. in a field related to the human body, measurement science, body modeling, statistics, design integration, or applied human factors
  • 5+ years conducting human factors research focused on physical hardware, wearables, or body-worn technology
  • Experience interpreting and applying 3D anthropometric datasets
  • Strong command of ergonomic and anthropometric principles
  • Mastery of experimental design, usability testing, physical interaction studies, and comfort assessments
  • Proficiency analyzing and deriving insights from both qualitative and quantitative data, including analyzing human body data in Python, R, or MATLAB
  • Familiarity with CAD and common digital human modeling tools, or a track record of close collaboration with hardware engineering
  • Proven ability to communicate technical findings clearly to creative, engineering, and other stakeholders

Nice to have

  • Experience with computational geometry or 3D analysis tools such as Rhino, Grasshopper, or Python geometry libraries
  • Familiarity with digital human modeling tools
  • Familiarity with CAD, 3D printing, or physical prototyping
  • Background in global user research and inclusive design practices
  • Knowledge of physiological monitoring or wearable sensor integration
  • Prior experience in health tech, consumer electronics, or fitness wearables

What the JD emphasized

  • physical hardware
  • human modeling data
  • ergonomic and anthropometric principles
  • experimental design
  • qualitative and quantitative data