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A leading medical device company in San Francisco is seeking a Principal Algorithms & Data Science Engineer to drive the development of algorithms for life-saving wearable devices. The ideal candidate should have extensive experience in machine learning and medical devices. This hybrid role offers a salary range of $200,000 - $212,000, competitive benefits, and an opportunity to make a significant impact on healthcare technology.
Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home. By putting the needs of patients and physicians first, our personalized digital devices, which are designed for function, comfort, and ease-of-use, aim to redefine the paradigm of care for these patients. Our first product, a wearable patch defibrillator, is initially targeted at treating the more than 500,000 patients in the US with an elevated temporary risk of potentially experiencing a lethal heart rhythm. Headquartered in San Francisco, our funders include Third Rock Ventures, Google Ventures, Deerfield Healthcare, Qiming Venture Partners USA, Cormorant Asset Management, and Invus Opportunities.
Summary of Role
Imagine building algorithms that directly save lives. At Element Science, we\'re on a mission to change how sudden cardiac events are detected, treated, and prevented, starting with our breakthrough wearable technology.
We are looking for a hands-on Principal Algorithms & Data Science Engineer to drive the development of algorithms for our life-saving wearable medical devices and our Cloud data services. These algorithms span a wide range of product facets, from machine learning algorithms that drive the core life-saving functionality of our wearable devices to field data analysis algorithms that provide critical insight into product usage, patient experience, potential improvements, and new products. The ideal candidate thrives in a commercial start-up environment that is scaling rapidly, can help drive strategic planning of algorithm-related business needs, and can execute algorithm design, development, and testing.
This is a hybrid role based in our Potrero Hill, San Francisco, California office.
Element Science offers a competitive salary and benefits package including, but not limited to:
The salary for this exempt-level position will be based on experience and qualifications within an established pay range.
Element Science is an Equal Opportunity Employer. All candidates will be evaluated on the basis of their qualifications for the job in question. We do not base our employment decision on an employee\'s or applicant\'s , , , (including , , and ), parental status, , , , genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors prohibited by local, state, or federal law.
In compliance with federal law, all persons hired will be required to verify and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. We are not able to sponsor individuals for employment visas for this job.
At this time, we are unable to offer relocation assistance at Element Science.