Data Scientist - Biosensor Analytics

Biofourmis is looking for candidates with Biosensor Algorithms background to solve data science problems in digital health and continuous patient monitoring.

Responsibilities:

• Design and develop new health monitoring features, functionalities, and algorithms for low power embedded wearables and/or cloud solutions
• Design, prepare and conduct clinical, laboratory and bench studies for feasibility, development and validation
• Build pipelines and automation for processing, data analysis, and machine learning model training to accelerate algorithm development
• Design, iterate, and optimize algorithmic processes and systems to achieve best in class computational efficiency and clinical performance
• Create, refactor, and manage code repositories and releases
• Carry out incremental improvements, refinements, and maintenance of algorithms and code base

• Work with firmware and back-end and QA engineers to implement algorithms and models in our products and ensure their quality through rigorous testing

• Foster collaborative cross functional communication, proper planning, and timely executions
• Follow good research development practices and quality management system for product life cycle
• Prepare reports for the design, implementations, and verification & validation
• Present results and recommendations to cross functional teams and management
• Contribute to the company's intellectual property and publications
• Be self-driven, motivated and a team player

Qualification & experience:

• PhD/MS in Digital Signal Processing, Biomedical Engineering, Computer Science, Electrical Engineering or other relevant discipline
• 1– 3 years of academia/industrial experience in developing biosensor analytic algorithms for biosensor and or cloud deployment involving complex physiological and actigraphy signals
• Solid background and practical expertise in digital/image/statistical signal processing, and machine/deep learning
• Hands-on experience in PPG/actigraphy signal processing, embedded sensor hardware development, algorithm integration and testing are a plus
• Proficiency in programming using MATLAB, Python and or C/C++
• Experience with agile project management, version control, and QMS tools
• Strong problem-solving and excellent communication skills
• Good track record with patents and/or publications
• Must be comfortable working with a mostly remote-based team and colleagues