Signal Processing Research Scientist

New York, NY, US • Posted 15 hours ago • Updated 15 hours ago

Contract W2

On-site

$60 - $65/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

EEG
EMG
ECG
Neuroscience
Python
SQL
Signal Processing
Biosensor
Data Collection
Data Analysis

Summary

Job Responsibilities:

Prepare devices and data collection setups for scheduled studies.
Support test operators during data collection sessions; triage and debug issues in real time.
Run validation/quality checks across multi-sensor streams; flag anomalies and drive fixes.
Process and organize newly collected data; maintain datasets for analysis and benchmarking.
Execute and troubleshoot compute workflows for metric generation and reporting.
Create visualizations and summaries to communicate data quality and experiment outcomes.

Education/Experience:

Bachelor's or Master of Science degree in computer science, electrical engineering, statistics, neuroscience, biomedical engineering, or other relevant field is required.
Required Years of Experience: 3+ Years

Requirements - Must-Have Hard Skills:

Coding experience (Python required; SQL strongly preferred)
Experience with hardware/sensor data and data collection (e.g., IMU/EMG/optical or similar)
Debugging/troubleshooting ability across software and hardware interfaces, with a focus on data quality and reliability.

Requirements - Nice-to-Have Skills:

Additional years/depth of engineering experience beyond the minimum level Signal processing experience (especially time-domain signals such as EMG/IMU).
Scientific computing experience and experience working with large, high-dimensional datasets

How will performance be measured?

On-time delivery of data collection studies.
Efficiency and reliability of data collection execution.
Data quality (completeness, integrity, and validity of datasets).
Quality and usefulness of analysis/insights delivered to product and research partners.

Interview Process: 2 Rounds [Behavioral + Technical]

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10123373
Position Id: SUC_SHA_5212
Posted 15 hours ago

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