Senior Data Scientist- Neuro

Natus Medical Incorporated; Oakville; Remote; CAD 90,000 - 130,000; Full time

Job summary

Natus Medical is seeking a Senior Data Scientist to join their Research and Advanced Development Team in Oakville, Canada. The role focuses on advanced machine learning applications for neurodiagnostic devices, requiring experience in algorithm development and a strong educational background in relevant fields. The successful candidate will collaborate with clinicians and engineers, ensuring the reliability and interpretability of innovative solutions in medical technology.

Qualifications

• 3+ years of algorithm development experience in electrophysiology or related fields.
• Experience with cloud platforms for AI/ML and data processing.
• Strong coding experience in Python, Matlab, C/C++, or C#.

Responsibilities

• Develop and implement machine learning for neurodiagnostics.
• Design diagnostic visualization and clinical decision support tools.
• Conduct performance evaluation of models for accuracy and reliability.

Skills

Machine Learning

Data Processing

Statistical Validation

Python

Cloud Platforms

Data Curation

Education

BS in Biomedical Engineering

MS or PhD in relevant field (preferred)

Tools

TensorFlow

PyTorch

AWS

Azure

Job description

Get AI-powered advice on this job and more exclusive features.

Remote- Oakville, Canada

SENIOR DATA SCIENTIST

Remote- Oakville, Canada

SUMMARY:As a Data Scientist, you will be a part of the Research and Advanced Development Team at Natus Medical, the market leader in EEG and neurodiagnostic devices in clinical practice. You will play a crucial role in developing and implementing state-of-the-art machine learning for the development of next-generation products in the areas of neurodiagnostics (e.g. EEG, PSG, EMG, ICP Monitoring).

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following.Other duties may be assigned.

• Work with internal and external clinicians, medical providers, and engineers to iteratively design, implement, maintain, and test:
• Robust data processing workflows, including acquisition, pre-processing, curation, quality control, and feature extraction
• Deployable diagnostic and decision support algorithms, including and classical and deep learning model training of neurophysiological datasets.
• Performant and scalable methodologies of data storage and curation.
• Design, develop, and test diagnostic visualization and clinical decision support tools that power the next generation of neurodiagnostic clinical practice.
• Conduct rigorous statistical validation and performance evaluation of models, ensuring accuracy, reliability, and interpretability.
• Communicate and document data science methodologies to both technical and clinical audiences, including external and internal engineering, product, and clinician teams.
• Act as an expert resource in the areas of data science and medical device algorithms.
• Identify new market opportunities, research ‘the latest and greatest’ cutting-edge external neurological technology and prepare cases to show its validity and applicability to the Natus product portfolio.
• Develop intellectual property in strategic areas of interest. May be asked to write, review, and submit patents.
  
  

EDUCATION AND/OR EXPERIENCE:

Required

• BS in Biomedical Engineering, Computational Neuroscience, Computer Science, Data Science, Electrical Engineering, or a related field.
• 3+ years of algorithm development and deployment experience in electrophysiology or a related field, including experiences in:
• Classical machine learning and deep learning, and at least one production framework (e.g. sklearn, TensorFlow, PyTorch).
• Cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform) for developing AI/ML and data processing pipelines.
• Experience in securely storing and accessing data in cloud environments.
• Git and leveraging CI/CD pipelines for reproducible AI/ML workflows.
• Containerization and orchestration technologies (Docker, Kubernetes, etc.).
• Data curation, cleansing, and verification techniques.
• Experience working with EEG (including scalp, iEEG, ECoG, sEEG, or LFP) or PSG signals.
• Strong coding experience (e.g. Python, Matlab, C/C++, or C#)
• Strong attention to detail, and respect for best practices.
• Excellent interpersonal, written, and oral communication skills.
• Experience managing multiple projects in a deadline driven environment given potential for rapidly changing priorities.
  
  

Preferred

• MS or PhD in Biomedical Engineering, Computational Neuroscience, Computer Science, Data Science, Electrical Engineering, or a related field.
• 5+ years of algorithm development and deployment experience in electrophysiology or a related field.
• Experience developing for neurophysiological sensor-based data acquisition systems (e.g. EMG, EEG) or signal processing algorithms (e.g. seizure detection) in a medical device industry setting.
• Experience deploying machine learning models in embedded, low-power, and wearable platforms.
• Experience in storing and accessing data in regulated multitenant cloud environments.
• Proficiency in using cloud-native AI/ML services or frameworks (e.g., AWS SageMaker, Azure ML, Google AI Platform).
• Hands-on experience with data engineering in a cloud environment, including the use of ETL tools.
• Experience with tools or frameworks for experiment and data lineage (MLflow, DVC, etc.).
• Experience with high performance, multiplatform, multiarchitecture data streaming primitives, such as ZeroMQ or RabbitMQ.
  
  

Travel Required: Minimal travel in and out of country (less than 10% of the time) is required.

Supervisory Responsibilities: None.

Language Skills: Ability to read, analyze and interpret common scientific and technical journals, financial reports and legal documents.Ability to write speeches and articles for publication that conform to prescribed style and format.Ability to effectively collate and present information to top management.

Please Note: we are unable to provide visa sponsorship or work authorization for this position. Candidates must be legally authorized to work in Canada without the need for employer sponsorship.

#INDNATUS #natuscareers #Canadajobs #Oakvillejobs

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care and Medical Equipment Manufacturing

Referrals increase your chances of interviewing at Natus Medical Incorporated by 2x

Sign in to set job alerts for “Senior Software Engineer” roles.

Principal Engineer/ Chief Software Architect (Hybrid)

Senior Engineering Manager, Developer Experience

Senior Software Engineer - User Generated Experiences

Senior Software Engineer (Identity Decisioning)

Senior Software Engineer (Network Platform Team)

Senior Software Engineer, Business Process & Automation

Java - Applications Development Sr Programmer Analyst - AVP

Java - Applications Development Sr Programmer Analyst - AVP

Java - Applications Development Sr Programmer Analyst - AVP

Java - Applications Development Sr Programmer Analyst - AVP

Senior Software Engineer (Identity Decisioning)

Software Engineer III - Mainframe Developer and Lead

Senior Integration Architect/Boomi Developer

Senior Manager, Developer Security Enablement and Operations

Mississauga, Ontario, Canada 23 hours ago

Lead Data Scientist - Articial Intelligence Specialist

Lead Data Scientist - Feature Engineering

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.