Data Scientist – Biosensor Analytics

Biofourmis is a rapidly growing, global digital health company filled with committed, passionate professionals who care about augmenting personalized care and empowering people with complex chronic conditions to live better and healthier lives. We are pioneering an entirely new category of medicine by developing clinically validated, software-based therapeutics to provide improved outcomes for patients, smarter engagement & tracking tools for clinicians, and cost-effective solutions for payers. We are collectively devoted to a single-minded idea: powering personally predictive care.

Our dynamic growth has been marked by doubled headcount in the last 12 months via both expansion & acquisition, yielding a global footprint with offices in Boston, Singapore, Bangalore, and Zurich. We are backed by prominent international venture capital investment & have cultivated relationships with worldwide healthcare stakeholders over the last 5 years. Our talented team features numerous PhD’s in Data Science and Biostatistics, over 80 patents, prolific scientific publications, world-class systems, developers & engineers, and leaders in the clinical operations space.

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