Principal Algorithms & Data Systems Engineer - Element Science

PRINCIPAL ALGORITHMS & DATA SYSTEMS ENGINEER

THE COMPANY: 

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.  Based in San Francisco and Redwood City, California, our funders include Third Rock Ventures, Google Ventures, Deerfield Healthcare, Qiming Venture Partners USA, Cormorant Asset Management, and Invus Opportunities.

SUMMARY OF ROLE: 

We are looking for a hands-on Senior or Principal Algorithms & Data Systems 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 position is a hybrid role based in our San Francisco, CA office.

RESPONSIBILITIES:

• Lead the design, development, and testing of algorithms used to control life-saving wearable medical devices and to analyze data uploaded from wearable devices to the Cloud.
• Contribute to strategic planning of product improvements, new product concepts, and algorithm development needs across the business.
• 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.
• Drive the implementation of scalable methods, processes, and tools that accelerate machine learning algorithm development and testing.  
• 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, including training and testing, from exploratory engineering testing and formal validation testing.  Author test protocols and reports and obtain cross-functional alignment.
• Provide algorithm and data science support during clinical studies and commercial release of new products.
• 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.
• 8-12 years minimum of relevant industry experience. Experience in the medical device industry preferred. Title commensurate with experience.
• Strong understanding of machine learning concepts such as model selection, data selection, training methods, etc.
• Strong experience applying advanced mathematical techniques (e.g., linear algebra, statistics, gradient descent, etc.) to solve engineering problems.
• Excellent 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 digital signal processing 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: $190,000 - $220,000 + Annual Bonus