Research Scientist

3 days ago

Redmond, United States Rose International Full time

Date Posted: 09/12/2024

Hiring Organization: Rose International

Position Number: 470998

Job Title: Research Scientist

Job Location: Redmond, WA, USA, 98052

Work Model: Onsite

Employment Type: Temporary

Estimated Duration (In months): 13

Min Hourly Rate($): 75.00

Max Hourly Rate($): 80.00

Must Have Skills/Attributes: Python, R, Research, Statistics

Job Description

As part of our multidisciplinary team at Client, you will be at the forefront of developing next-generation smart and AR glasses and wearables. Your work will center 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.


As Research Scientist you will be tasked with performing in-depth statistical analyses, writing reusable code, and creating visualizations to communicate insights. Your work will support the development of ergonomic, human-centered wearable products by analyzing large datasets and producing actionable insights that influence product design and functionality. Strong storytelling abilities will be crucial as you effectively convey complex findings to stakeholders.



Non-Negotiable Qualifications:


• Must have coding experience


• Master’s degree or equivalent experience in Computer Science, Biomedical Engineering, Mechanical Engineering, Statistics, Mathematics, Human Factors, or a related field


• 2+ years of experience in conducting research and statistical analysis for novel products.



Minimum Qualifications:


• Master’s degree or equivalent experience in Computer Science, Biomedical Engineering, Mechanical Engineering, Statistics, Mathematics, Human Factors, or a related field


• 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 (e.g., PCA on meshes, hierarchical regression modeling, machine learning) 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



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 modeling), 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 (SQL/NoSQL)


• Experience with emerging technologies in AR/VR/MR or wearable technology



Research Scientist Responsibilities:


• Analyze data derived from 3D scanned geometry (i.e. PCA on meshes, statistical shape modeling, landmark analysis) 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 (N=3000+ people), focusing on wearability and fitment, use large data infrastructure (SQL/NoSQL)


• Develop reusable analysis code in Python, R, or similar languages


• Improve data analysis 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


• Participate in cross-functional collaborations across Client, contributing to experiments, prototypes, and concepts that advance AR/VR systems.


Interview process:


• 1- 2 rounds covering technical and behavioral related questions. 1 hour


Team:


• Will have 1 reporting manager.



**Only those lawfully authorized to work in the designated country associated with the position will be considered.**


**Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**



Benefits:

For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity:

For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).

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