Senior Data Scientist- Neuro

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:

• 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 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.