Job Description

FOR MORE THAN 80 YEARS, Natus has been working in collaboration with clinicians to deliver industry-leading neuro solutions that help providers more easily make sense of the body's signals.



Engineered with input from those who have lived the care experience, our technology simplifies complex processes and improves accuracy and efficiency. There is a role for everyone who wants to be part of the innovative solutions at Natus 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 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.

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.

Compensation and Benefits:

Along with a competitive salary and bonus structure, Natus offers a comprehensive healthcare package that starts on your first day of employment, paid statutory holidays, 3 weeks' vacation and 7 sick days, RRSP Match, and tuition reimbursement eligibility after 1 year.



Be the People part of the Neuro Solution. Apply Today.

EEO Statement:

Natus Medical is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Accessibility:

Natus is committed to creating an inclusive environment that accommodates all individuals, including those with disabilities. We support the goals of the Accessibility for Ontarians with Disabilities Acts (AODA) and have established policies, procedures and practices which adhere to the accessibility standards set out in the AODA. Should you require any accommodation throughout the recruitment process please do not hesitate to contact our Human Resources Department.



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