Data Scientist (Machine Learning) at Biofourmis
Biofourmis is a fast-growing digital health startup that is reinventing remote patient monitoring for post-acute cardiac care. By harnessing the power of artificial intelligence, we’re advancing the practice of medicine by detecting personalized patterns predictive of patient’s health deterioration. Named as “Top 20 Hottest Startups in Singapore” our team is powered by the passion of our mission to improve the lives of cardiac patients and those that care for them!
Biofourmis is looking for smart and capable Data Scientist on our Data Science team to join our ranks. The ideal candidate should have the passion to use data from biosensors and advanced machine learning techniques for making sense of biosensor data for early detection of patient cardiac health exacerbation. We are building an end-to-end service that integrates seamlessly into the lives of those affected by cardiac disease via multiple touchpoints on front-end while providing intelligent analytics on the backend. You would specifically be responsible for:
Research and development of algorithms to detect abnormal subtle changes in physiology using biosensor data in real-time.
Research and development of algorithms to derive clinical derivative parameters from continuous biosensor data including building disease specific models for patient’s health deterioration.
Design and architect the entire workflow of the algorithms that includes data inputs, outputs and database storage.
Optimize data analysis processes and systems for better efficiency and maintenance.
Conduct epidemiological research to analyse the patterns, causes and effects of health and disease in the cohort of collected patient data.
Documentation which clearly explains how algorithms have been implemented, verified and validated.
Masters in Bioinformatics Statistics or related fields with strong statistical modelling and machine learning skills (bachelors with related working experience may be considered).
Hands on experience with development of end-to-end data analytics solutions including data exploration/crawling, model building and performance evaluation.
Proficient with programming in Python and/or R.
Knowledge in big data technologies including cloud computing/distributed computing and data visualization.
Background in or exposure to healthcare data, human physiology or cardiology is a plus.
Strong problem solving skills.
Excellent written and verbal communication skills, including the ability to communicate technically and non-technically with ability to translate between the two.
Able to start work within 2 months
Biofourmis is located at the Vision Exchange, easy to reach by bus, MRT and car. We try to make your life at work as smooth as possible, and offer a long list of benefits to make that happen.
Competitive salary and performance based incentives
Competitive stock options
Equipment allowance to build your ideal workspace
Stocked kitchen + weekly catered lunches
A supportive group of people who understand that success depends on the team
Our pace is fast and agile - we thrive in a highly dynamic work environment where independence, risk, and generative thinking are embraced and encouraged.
At Biofourmis, we have developed a new approach to remote monitoring to bring this extremely demanding goal within reach by making sense of biosensors, thereby providing continuous physiological insights anywhere, anytime. Biofourmis was founded by scientists, and cardiologists focused on combining clinicians’ knowledge of biological mechanism that drives the human body and diseases and advanced machine learning techniques to enable the machine find personalized patterns predictive of patient’s health deterioration. We do patient care differently and we are changing healthcare one patient at a time. How might you ask? By hiring the right talented data scientists, developers, clinicians and healthcare leaders to provide the patient with cutting edge tools to enable the best level of care and intervention at the right time.