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Sphere Partners
Data Scientist - Biomedical Signal ProcessingSphere Partners • Remotely, Anywhere, USA
Data Scientist - Biomedical Signal Processing

Data Scientist - Biomedical Signal Processing

Sphere Partners • Remotely, Anywhere, USA
22 days ago
Job type
  • Full-time
  • Remote
Job description

Position: Data Scientist / Machine Learning Engineer
Client: AI-Driven HealthTech / Biosignal Analytics Product
Engagement Type: Consulting → Potential Phase 3 Implementation
Location: Remote

Role Overview

We are looking for a Data Scientist / ML Engineer with a biomedical signal processing background to support development of real-time AI solutions based on physiological signals.

The role begins with consulting, followed by hands-on model training and optimization during Phase 3 of product development.

The ideal candidate has experience working with messy physiological datasets, including ECG, EEG, EOG, brain waves, or other low-frequency biosignals, and is comfortable building end-to-end ML pipelines — from signal filtering and feature engineering to real-time model deployment.

Key Responsibilities

Phase 1–2: Consulting & Architecture

  • Analyze physiological signal datasets and data quality
  • Recommend signal preprocessing and filtering strategies
  • Define feature engineering approach for biosignals
  • Suggest model architecture for real-time predictions
  • Advise on data pipeline and training strategy
  • Help define evaluation metrics and validation approach

Phase 3: Model Training & Implementation

  • Process low-frequency physiological signals (ECG, EEG, brain waves, biosignals)
  • Apply signal filtering, noise reduction, and transformations
  • Build feature extraction pipelines from physiological data
  • Train and optimize machine learning models
  • Support real-time inference and model performance optimization
  • Work closely with engineering team for model integration
  • Improve model accuracy through experimentation and iteration

Required Experience

  • 2+ years experience as Data Scientist / ML Engineer / Biomedical Data Scientist
  • Strong signal processing background
  • Experience working with physiological or biomedical signals such as:
    • ECG
    • EEG
    • EOG
    • Brain waves
    • Other biosignals
  • Experience working with low-frequency signals
  • Experience handling noisy or heterogeneous physiological datasets
  • Hands-on experience with:
    • Signal filtering
    • Mathematical filters
    • Feature extraction
    • Time-series analysis
  • Python skills:
    • NumPy
    • SciPy
    • Pandas
    • Scikit-learn

Nice to Have

  • Biomedical engineering background
  • Neuroimaging or electrophysiology experience
  • Experience working with multi-source physiological datasets
  • Experience building reproducible research pipelines
  • Experience with real-time ML solutions
  • PyTorch / TensorFlow experience

Engagement Model

  • Phase 1–2: Consulting / Advisory
  • Phase 3: Model Training & Implementation
  • Real-time biosignal AI product
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Data Scientist - Biomedical Signal Processing • Remotely, Anywhere, USA

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