UX Scientist - Human Computer Interaction

Charles River Analytics•Cambridge, MA
•$120,000 - $170,000•Hybrid

About The Position

Charles River Analytics, a GRVTY company, develops technology and solutions in enhanced AI, robotics, smart sensing, and human-centered computing for government programs and commercial applications. The company is seeking an early- to mid-level researcher with experience in Human-Systems Integration, Human Factors, or Human-Computer Interaction to develop tools and interfaces that help users work with technology in challenging environments. The UX Scientist will lead and grow teams of researchers, designers, and engineers in understanding work domains and user-support requirements, developing human-AI interaction concepts, and demonstrating and evaluating interactive prototypes. The role defines, proposes, and directs technical work; builds relationships with customers, sponsors, and partners; provides Human Systems subject-matter expertise; and collaborates across disciplines to pursue research opportunities. Potential research areas include Human-AI Teaming and Decision-Support Systems, as well as command and control, mission planning, supervisory control, predictive health and maintenance, cyber operations, and intelligence operations. The position is based in Cambridge, Massachusetts, with an onsite requirement of at least three days per week (60% onsite and 40% remote).

Requirements

  • PhD or master’s degree in Human Factors, Cognitive Systems Engineering, Interaction Design, Cognitive Science, or a related field.
  • Proven record of capturing and leading research and development contracts or grants as a Principal Investigator, Technical Lead, Chief Engineer, or Program Manager.
  • Experience analyzing work environments and conceiving, demonstrating, and evaluating user interfaces.
  • Strong written and verbal communication skills.
  • Prior experience in proposal writing, customer interaction, and presenting at technical conferences.
  • U.S. citizenship.
  • Ability to work onsite at least three days per week in Cambridge, Massachusetts.

Nice To Haves

  • Five or more years of relevant experience in HCI, HSI, or a similar field.
  • Domain experience related to autonomous systems, intelligence analysis, or tactical aviation.
  • Experience as a PI or PM capturing and leading applied R&D programs through DARPA, AFRL, ONR, ARL, IARPA, or other related government organizations.
  • Military service or DoD work experience.
  • Technical or peer-reviewed publications in related fields.
  • Strong design aesthetic and functional reasoning skills, with superior attention to detail.
  • Knowledge and experience with state-of-the-art machine learning algorithms and autonomy systems.
  • Business development experience with DoD pursuits.

Responsibilities

  • Develop and execute a research agenda in Human-Systems Integration and Human-Autonomy Teaming.
  • Study, model, and understand diverse customer needs in complex systems.
  • Develop work-support solutions based on principles of human perception, cognition, and decision making.
  • Coordinate and oversee researchers, designers, and software engineers implementing and evaluating solution concepts through a user-centered design process.
  • Build and maintain relationships with customers and collaborators.
  • Contribute to proposals, technical reports, and research publications.
  • Present work at briefings and conferences.
  • Define, propose, and direct technical work.
  • Provide Human Systems subject-matter expertise and collaborate across disciplines to identify and pursue research opportunities.

Benefits

  • Competitive compensation and bonus.
  • Retirement contribution.
  • 100% employer-paid medical and dental insurance.
  • Vision insurance.
  • Life insurance.
  • Disability insurance.
  • Paid maternity and paternity leave.
  • Tuition reimbursement.
  • Monthly gym allowance.
  • Free parking.
  • Generous paid time off.
  • Flexible work arrangements and emphasis on work-life balance.
  • Casual work environment.
  • Accessible by public transportation.
  • Employee ownership.
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