Senior Algorithm Engineer- Med Tech

Healthcare Recruiters International; Baltimore (MD); On-site; USD 130,000 - 180,000; Full time

Job summary

Healthcare Recruiters International is seeking a Senior Algorithms Engineer to design and optimize time-series biomedical signal processing and ML models for wearable health monitoring devices. The role emphasizes translating research into deployable software and collaborating with hardware teams for low-power implementations.

Ideal candidates hold a PhD and 3+ years of biomedical signal experience, with fluency in Python, PyTorch/TensorFlow, and related toolchains.

Qualifications

• Ph.D. in Biomedical/Electrical/Computer Engineering, Computer Science, or a related field.
• 3+ years relevant experience in time-series biomedical signal analysis (e.g., EEG, ECG, PPG, EMG, IMU).
• Strong experience in machine learning, model development, statistical modeling, and signal processing techniques.
• Fluent in Python, NumPy, SciPy, PyTorch/TensorFlow, scikit-learn.
• Proven ability to write clean, efficient, production-quality code.
• Experience translating research algorithms into deployable systems, including generation of required documentation and implementing traceability of testing/validation processes.
• Experience in biomarker discovery and physiological feature extraction.
• Experience optimizing algorithms to improve performance within constraints Familiarity with edge deployment frameworks including Swift, C/C++, LiteFlite, etc.

Responsibilities

• Design, build, validate, and optimize signal processing, machine learning and deep learning models for time-series biomedical signal analysis.
• Lead biomarker discovery and feature engineering initiatives, including planning and managing short-term and long-term project timelines with deliverables and performance targets.
• Develop production-grade code for scalable product deployment.
• Collaborate with hardware and embedded teams to transition algorithms into low power implementations.
• Document processes and results to comply with internal and FDA-regulated processes.
• Contribute to research publications, IP development, and technical strategy.

Skills

Python

NumPy

SciPy

PyTorch

TensorFlow

scikit-learn

Time-series analysis

Machine learning

Biomedical signal processing

C/C++

Production-grade coding

Education

PhD in Biomedical/Electrical/Computer Engineering or related field

Tools

Swift

LiteFlite

C/C++

Job description

Our client is a well-funded innovator in the development and commercialization of wearable (non-invasive) health monitoring wearable platforms specifically for patients suffering from a range of cardiovascular and neurological disorders.

They have immediate need for a Senior Algorithms Engineer, with a strong background in biomedical signal processing, machine learning, or related field. This role is focused on interpreting time-series signals from wearable devices in both post-processing and real-time contexts for interpreting predictive physiologic data to provide relevant status to patients and physicians.

Key Responsibilities:

• Design, build, validate, and optimize signal processing, machine learning and deep learning models for time-series biomedical signal analysis
• Lead biomarker discovery and feature engineering initiatives, including planning and managing short-term and long-term project timelines with deliverables and performance targets
• Develop production-grade code for scalable product deployment
• Collaborate with hardware and embedded teams to transition algorithms into low power implementations
• Document processes and results to comply with internal and FDA-regulated processes
• Contribute to research publications, IP development, and technical strategy

Qualifications (required and/or preferred):

• Ph.D. in Biomedical/Electrical/Computer Engineering, Computer Science, or a related field
• 3+ years relevant experience in time-series biomedical signal analysis (e.g., EEG, ECG, PPG, EMG, IMU)
• Strong experience in machine learning, model development, statistical modeling, and signal processing techniques
• Fluent in Python, NumPy, SciPy, PyTorch/TensorFlow, scikit-learn
• Proven ability to write clean, efficient, production-quality code
• Experience translating research algorithms into deployable systems, including generation of required documentation and implementing traceability of testing/validation processes
• Experience in biomarker discovery and physiological feature extraction
• Experience optimizing algorithms to improve performance within constraintsFamiliarity with edge deployment frameworks including Swift, C/C++, LiteFlite, etc.