Staff Algorithms R&D Engineer

Element Science, Inc. is a medical device and digital health company redefining how patients with heart disease are monitored and treated as they transition from the hospital to the home. Our mission is to improve outcomes for patients at risk of life-threatening cardiac events through innovative solutions at the intersection of clinical-grade wearables, advanced algorithms, and therapy delivery.

We are entering an exciting phase of growth as we move from development into early commercialization. Our approach combines hardware, software, and services to deliver a more personalized and seamless patient experience—designed with both patients and clinicians in mind. Our product, a wearable patch defibrillator, is designed for patients with a temporary elevated risk of sudden cardiac arrest, addressing a significant and underserved population of over 500,000 patients in the U.S. By focusing on comfort, usability, and clinical effectiveness, we aim to transform the standard of care during this critical period. Headquartered in the San Francisco Bay Area, Element Science is backed by leading healthcare and technology investors, including Third Rock Ventures, GV (Google Ventures), Deerfield Healthcare, Cormorant Asset Management, and Invus Opportunities.

SUMMARY OF ROLE:

We are looking for a hands-on Staff Algorithms R&D Engineer to drive the development and testing 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 biometric data detection and signal processing. 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 San Francisco office, with a planned transition to our Redwood City, CA office within the year. We are in office every other week Tuesday through Thursday.

RESPONSIBILITIES:

• Drive the design, development, and testing of various algorithms, including biometric sensing, signal processing, control and machine learning rhythm identification algorithms used in life-saving wearable medical devices.
• Contribute to strategic planning of product improvements, new product concepts, and algorithm development needs across the business.
• Define technical content for product design including design requirements and specifications, verification and validation plans, protocols, and reports, and risk management files.
• Perform hands-on algorithm development, from exploratory engineering testing and formal validation testing. Author test protocols and reports and obtain cross-functional alignment.
• Collaborate with the Software Engineering and Information Technology teams to define Cloud-based data architectures for wearable device data and business operations data, including storage, transformations, and interfaces with machine learning algorithms.
• Contribute to the implementation of scalable methods, processes, and tools that accelerate machine learning algorithm development and testing.
• Provide algorithm support during clinical studies and commercial release of new products.
• Provide technical expertise during cross functional engineering activities.
• Provide technical guidance and mentorship across the engineering team.

QUALIFICATIONS:

• B.S. in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or equivalent. Advanced degree preferred.
• 10 years minimum of relevant industry experience. Experience in the medical device industry preferred.
• Strong experience with digital signal processing concepts such as filtering and frequency analysis.
• Experience with empirical biometric sensing algorithms development.
• Familiarity with machine learning algorithms highly preferred.
• Strong experience applying advanced mathematical techniques (e.g., linear algebra, statistics, gradient descent, etc.) to solve engineering problems.
• Strong coding skills using Python. Familiarity with MATLAB preferred. Familiarity with C/C++ a plus.
• Experience leading projects within a cross-functional team environment.
• Experience with physiological signals such as ECG, PPG, EEG, etc. a plus.
• Experience with AWS Cloud tools for large data processing a plus.
• Strong written and verbal communication skills.

BENEFITS:

Element Science offers a very competitive salary and benefits package including, but not limited to:

• Stock Options
• 90% employer-paid medical, dental, and vision insurance
• Company-paid Basic Life Insurance
• 401(k) retirement plan (Traditional and Roth)
• Competitive Paid Time Off
• Paid Holidays
• FSA (Flexible Spending Accounts)
• HSA (Health Savings Account)
• Employee Assistance Program through PEO

The salary for this exempt-level position will be based on experience and qualifications within an established pay range.

• Pay range: $170,000 - $185,000

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 race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, 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 identity 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.