Algorithm Scientist

• Implement, refine, and benchmark signal processing and machine learning algorithms for multimodal biosignals, including PPG, motion, and temperature
• Apply signal cleaning, noise reduction, feature extraction, and time-series data integration across novel modalities
• Collaborate with hardware, firmware, and software engineering teams to analyze sensor performance and optimize data collection pipelines
• Analyze data from prototype sensors, evaluation kits, and benchtop setups to assess algorithmic feasibility and signal integrity
• Analyze time-series datasets to discover relationships between physical signal features and underlying physiological states
• Document technical findings, present experimental results, and communicate data-driven insights to project leads and cross-functional teammates

• 2–4+ years of practical experience (including advanced degree research) in biosignal processing, time-series analysis, or sensor fusion
• Strong expertise in Python and scientific computing libraries (Num Py, Sci Py, pandas, scikit-learn, PyTorch/Tensor Flow)
• Solid foundational understanding of human physiological systems and biosensing techniques
• Practical experience working with noisy, real-world time-series data and designing robust preprocessing pipelines
• Master’s degree or PhD in Biomedical Engineering, Signal Processing, Machine Learning, Electrical Engineering, or a related quantitative field
• Strong analytical skills with the ability to clearly explain complex data, methodologies, and technical results to cross-functional peers

Demonstrates expertise in biosignal processing and time-series analysis, with a strong foundation in Python and scientific computing libraries. Capable of collaborating across engineering teams to optimize data collection and analyze complex datasets for insights into physiological states.

• Biosignal Processing
• Time-Series Analysis
• Python Programming
• Machine Learning Algorithms
• Data Cleaning and Preprocessing

• Signal Processing
• Feature Extraction
• Noise Reduction
• Sensor Fusion
• Data Integration
• Statistical Analysis
• Algorithm Development
• Experimental Design
• Data Visualization
• Technical Documentation

• Analytical Skills
• Communication Skills
• Collaboration
• Problem-Solving

• Master’s Degree in Biomedical Engineering
• PhD in Signal Processing

• Biosensing Techniques
• Physiological States
• Sensor Performance
• Data Collection Pipelines
• Multimodal Biosignals

• Num Py
• Sci Py
• Pandas
• Scikit-learn
• Py Torch
• Tensor Flow