Research Scientist

4 weeks ago

Redmond, Washington, United States Tailored Management Full time

Job Title: Research Scientist, Quantified Wearability

Job Summary:

  • As a key member of our multidisciplinary team at Tailored Management, you will be at the forefront of developing next-generation smart and AR glasses and wearables.
  • Your work will focus on providing statistical analysis and support for ongoing projects involving 3D scan data and human factors.
  • This role requires a blend of data analytics, statistical expertise, and human-centered design and problem-solving skills to help shape the future of wearable technology.

Responsibilities:

  • Analyze data derived from 3D scanned geometry and human factors data to produce meaningful insights that drive product design.
  • Perform exploratory data analysis, identify issues in the data, and generate and test hypotheses to interpret the results of product experiments.
  • Plan and execute statistical analyses for large datasets, focusing on wearability and fitment, using large data infrastructure.
  • Develop reusable analysis code in Python or similar languages.
  • Improve data analysis pipelines with an emphasis on scalability and stability of various deployed systems.
  • Design and run ergonomic and human factors research studies, utilizing methods such as experimental design, survey analysis, motion tracking, and kinematics analysis.
  • Collaborate with scientists and engineers to translate research questions into analysis tools and results.
  • Provide data visualization support, including dashboards and ad-hoc requests, to convey complex information to stakeholders effectively through compelling storytelling.

Requirements:

  • 2+ years of experience in conducting research and statistical analysis for novel products.
  • Experience with Python and/or R.
  • Demonstrated ability to perform multivariate analysis with a strong emphasis on deriving data insights from large datasets, identifying trends, and clearly presenting findings.
  • Experience in 3D geometry analysis, human data, and user studies.
  • Must have coding experience.

Preferred Qualifications:

  • PhD or equivalent experience in Computer Science, Statistics, Engineering, or related fields.
  • 5+ years of experience in applied research and/or product development related to 3D geometry analysis, particularly in wearable design.
  • Prior experience with computer vision, motion capture data analysis, 3D geometry (mesh processing, statistical shape modelling), FEA, and/or CAD.
  • Experience with Machine Learning models, deep learning frameworks, including PyTorch, and their application in 3D geometry analysis.
  • Experience with large database infrastructures.
  • Experience with emerging technologies in AR/VR/MR or wearable technology.

Education:

  • Masters degree or equivalent experience in Computer Science, Biomedical Engineering, Mechanical Engineering, Statistics, Mathematics, Human Factors, or a related field.
  • Science/Engineering background (ME, Biomed, CS).

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