Collaborate with a team of doctors, engineers, and fellow data scientists around product goals and novel sensing modalities;
Develop validated biomarkers with the use of deep learning and machine learning algorithms, and contribute to their integration into the final product;
Develop novel analytic strategies for physiological signals collected from medically graded device and data collected with wearable devices;
Document and communicate results to the team in preparation for regulatory filing.
What You Should Bring
Must-have
A degree in Biomedical Engineering, Statistics, Computer Science;
2 year’s experience;
Passionate for developing products to serve patients and make lives better;
Drives towards a positive outcome as the work you will do will directly impact the standard of care worldwide;
Entrepreneurial, independent and collaborative;
Proficiency with Python and associated machine learning libraries such as Numpy, Pandas, Scikit-Learn, TensorFlow/Keras/PyTorch;
Proficiency in querying Relational and Non-relational databases;
Ability to innovate features and models beyond basic routines to meet performance objectives;
Proficiency in implementing innovative solutions and techniques based on academic data science and machine learning literature;
Proficiency in English and excellent written and verbal scientific communication and time management skills.
Nice-to-have
PhD desired;
Experience working in a fast-paced start-up;
Experience working with ECG (or other cardiac signals), EEG, and/or clinical physiological data and/or data from wearable devices (e.g., Garmin, Apple Watch);
Familiarity with health and medical regulatory processes;
Working experience with Amazon Web Services.
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