Principal Algorithms & Data Science Engineer

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.

RESPONSIBILITIES:

• Lead the ideation, design, development, and testing of algorithms used to control life-saving wearable medical devices.
• Lead the ideation, design, development, and testing of algorithms used 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.
• 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.
• 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.  
• 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:

• Bachelor’s degree in CS, EE, Physics, Math, or related field; advanced degree preferred.
• 8-12 years minimum of relevant industry experience. Experience in medical device industry preferred.
• 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.
• Experience in leading algorithms development from feasibility through product commercialization.
• 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.
• Experience with predictive analysis in healthcare a plus.
• Strong written and verbal communication skills.

BENEFITS:

Element Science offers a 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: $200,000 - $212,000