Cynet Systems ยท 2 months ago
Senior UI/Human Factors Engineer
Santa Clara, CA
Full-time
Onsite
Senior Level
$69.17/hr - $78.98/hr
6+ years expCynet Systems is seeking an experienced Human Performance Data Scientist to lead the development, validation, and management of experimental data pipelines and systems for both virtual and physical environments. This role focuses on designing experiments, developing bioinstrumentation, and applying data science techniques to extract insights that drive product design and performance modeling.
EmploymentRecruitingStaffing Agency
Responsibilities
Build and validate experimental conditions within virtual and physical environments
Develop and validate Client and off-the-shelf (OTS) bioinstrumentation and psychometrics for experiments measuring individual differences in human performance
Perform data extraction, transformation, processing, analysis, and visualization across multiple data sources (biometrics, psychometrics, and system data logs)
Prototype and iterate on designs, develop and test high-quality software in Python or C++ for machine learning performance modeling
Develop and maintain Snowflake and Databricks data pipelines
Test BI systems and data analysis processes, including ETL workflows, to ensure accuracy and completeness
Conduct data validation, integrity checks, aggregation, reconciliation tests, and report testing for lab-based and field-based data collection
Execute end-to-end testing of ETL processes to ensure data accuracy, completeness, and consistency
Create and analyze project requirements, test strategies, and test cases
Manage data governance and compliance for internal and external data sharing
Oversee system configurations for reliable data capture pipelines in experimental environments
Develop and maintain data infrastructure for synchronizing, processing, and analyzing research data to inform product design, strategy, and validation
Qualification
Required
Minimum 6 years of relevant research and engineering experience in product development
Minimum 6 years of experience leading data science for human subjects research
Proficiency in processing and analyzing large quantitative datasets from human and robotic systems
Ability to interpret large mixed-method datasets into clear, actionable insights
Strong background in experimental design in virtual and physical environments
Excellent verbal communication, presentation, and collaboration skills across multiple teams
Knowledge of user-centered design and human factors engineering principles
Bachelor's degree in Mechanical Engineering, Computer Science, Psychology, Biomechanics, Human-Computer Interaction, Robotics, or a related field
Preferred
Experience in data science applications
Experience with bioinstrumentation (preferred)
Experience in medical devices or other regulated industries (preferred)
Company
Cynet Systems
Headquartered in Washington DC Metro Area, Cynet Systems is a top talent supplier for companies across North America.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Ashwani (Ash) M.
Partner and Co-CEO
Nikhil "Nick" Budhiraja
Founder / Co-CEO
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