Data Scientist (Signal Processing) 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!
We are currently looking for Data Scientist(s) with signal processing or data analytics experience to join us.
Translate our in-house signal processing algorithms from research to production environment
Research, design and develop algorithms to get insights from bio-signals
MS or PhD in Computer/Electrical/Biomedical Engineering with coursework in Signal processing, Time-Series Machine learning and Statistical analysis from reputed university.
Minimum 2 years of experiences in Python packages like Numpy, Scikit-Learn, Pandas etc.
Proficient in Matlab toolboxes like Signal Processing Toolbox, Wavelet Toolbox, Statistics and Machine Learning Toolbox, etc. (Minimum 2 years’ experience).
Follow the good practice of software development process.
Experience with ECG, PPG, EEG and other types of biomedical/healthcare data is a plus
Ability to work independently to solve complex problems with large, real-world datasets
Knowledge in Cardiac Electrophysiology is a plus
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
Medical insurance, 100% coverage for medical, dental and vision
Flexible & generous vacation policy
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.