Data Scientist (Biostatistics)

Employer

Job Description

Job Title: Data Scientist (Bio-signal Processing)

Locations: New York or Sunnyvale, CA - Onsite

Duration: 12 months to start with

Duties

At Client, our goal is to explore, innovate, and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences.

We are looking for a skilled and motivated Biostatistics expert to join the Hardware team. Our team create devices that drive input and interaction in our AR and VR devices. A successful candidate would be able to design and analyze sensing data and metadata collected with humans in the loop under uncontrolled, in the wild conditions.

Top 3 must-have HARD skills:

Biostatistics, statistics, and study design and analysis with human in the loop

Signal processing and traditional algorithm development

Advanced Python

Minimum qualifications

PhD degree in Biostatistics, Bioengineering, Electrical Engineering, Computer Science, or equivalent practical experience.

5+ years’ experience and/or PhD with experience working with raw sensor data and experimental study design.

Experience with sensor failure analysis using proper study design and statistical analysis.

5+ years’ experience collecting and analyzing datasets with humans in the loop, which include but are not limited to raw Biosensing data (IMU, PPG, ECG, EMG, etc.). Understanding of HW and Algorithm failure and root cause analysis, and comfort using the appropriate tools is appreciated.

Expert in Python and one other statistical programming languages like R and MATLAB.

Responsibilities

Apply signal processing and statistical tools to derive KPIs that drive HW design and assessment.

Collect, analyze, and manage complex multimodal physiological datasets.

Design and analyze data under uncontrolled and naturalistic environments.

Preferred qualifications

Experience in the domain of (bio)-signal processing, statistics, analysis, and control theory.

Experience applying advanced statistical analysis to drive real world problems (especially HW development).

Strong communication and personal skills.