Data Scientist – Predictive 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 quadrupled 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 - Predictive Analytics

Biofourmis is looking for candidates with machine/deep learning background to solve data science problems in digital health monitoring and emerging digital therapeutics.

Responsibilities:

• Design and architect state-of-the-art signal/image processing algorithms to derive novel biometric features and clinical parameters
• Design and architect machine/deep learning algorithms for disease diagnostics, detection of abnormal patterns in physiology and prediction of impending clinical conditions/events
• Design and conduct exploratory and statistical analyses to understand the complex human systems and health data  
• Create reference benchmarks and processes to select appropriate models, libraries, and tools, and evaluate performance of algorithms using appropriate statistical methods
• Develop, train, and optimize end-to-end predictive analytic solutions with best-in-class computational efficiency and clinical performance
• Iterate and improve the model performances using appropriate transfer learning techniques
• Prepare technical reports for the algorithm designs & analytic solutions, implementations, and verification & validation
• Contribute to reports and presentations for nontechnical audiences that explain solutions workings and performance
• Research and keep up to date with solutions, datasets, and companies that are relevant to ongoing projects

• Follow the best practices of software development life cycle and produce high quality software systems

• Demonstrate and present to the cross functional teams and management
• Contribute to the company's intellectual property and publications

Qualification:

• PhD/MS in Data Science, Biomedical Engineering, Computer Science, Electrical Engineering or relevant discipline
• 1– 3 years of industrial/academia experience in developing predictive analytic algorithms for biosensor and or cloud deployment involving diverse data types – continuous/episodic medical/consumer device, electronic health records, images, and audio & video recordings
• Solid background and practical in digital/image/statistical signal processing and machine/deep learning; modeling experience in CNN, anomaly detection, clustering and time series forecasting is a plus
• Solid programming skills in Python; ability to write clean, concise, efficient and testable codes that follow coding standards and best practices
• Proficient with programming in Python libraries including Scikit-learn, Tensorflow, Pytorch, Keras and Pandas
• Solid background in machine-learning model explainability with SHAP, Feature Importance and Information Gain
• 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