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Data Scientist - Biomedical Signal Processing - Remote

Posted Yesterday
Data Analysis
Contract
Worldwide

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.

In Short

  • Position: Data Scientist / Machine Learning Engineer
  • Client: AI-Driven HealthTech / Biosignal Analytics Product
  • Engagement Type: Consulting → Potential Phase 3 Implementation
  • Location: Remote
  • Level: Junior/Middle
  • Analyze physiological signal datasets and data quality
  • Recommend signal preprocessing and filtering strategies
  • Define feature engineering approach for biosignals
  • Process low-frequency physiological signals (ECG, EEG, brain waves)
  • Train and optimize machine learning models

Requirements

  • 2+ years experience as Data Scientist / ML Engineer / Biomedical Data Scientist
  • Strong signal processing background
  • Experience with physiological or biomedical signals
  • Experience with low-frequency signals
  • Hands-on experience with signal filtering and feature extraction
  • Python skills: NumPy, SciPy, Pandas, Scikit-learn

Benefits

  • Opportunity to work on real-time AI solutions
  • Flexible working environment
  • Engagement in innovative health technology

S.P

Sphere Partners

Sphere Partners is a dynamic consulting firm that collaborates with clients to transform their organizations by integrating technology and processes to achieve sustainable competitive advantages. With a blend of global expertise and local insights, Sphere empowers individuals and companies to reach their ambitious goals. The company is currently engaged in innovative projects for a prominent American client, focusing on the development of new platforms and solutions.

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