Principal Algorithms & Data Science Engineer, Element Science
$200-212k
+ Stock Options
Office located in Potrero Hill, San Francisco
Medical device solutions
Job no longer available
Medical device solutions
21-100 employees
Job no longer available
$200-212k
+ Stock Options
Office located in Potrero Hill, San Francisco
21-100 employees
Company mission
To develop solutions that address leading causes of death and hospitalization due to heart disease.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
Element Science is a medical device company developing wearable solutions for patients with cardiovascular diseases. Through the use of machine learning algorithms, Element Science's wearable devices are able to both detect and treat lethal heart rhythms that can lead to sudden cardiac death.
The company's flagship product - funded by Google Ventures and Third Rock Ventures - is a wearable defibrillator called Jewel. In addition to Jewel, Element Science is also developing other wearable solutions, including a wearable patch that monitors heart function and detects potential problems before they become life-threatening.
Since its launch in 2012, Element Science has received significant funding from multiple venture capital firms and the National Institute of Health. Furthermore, it received prestigious recognition for its innovative technology, including being named to Fast Company’s Annual List of the World’s Most Innovative Companies of 2026. Following FDA approval for its Jewel Patch Wearable Cardioverter Defibrillator, Element Science remains committed to its research and development efforts.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2020
$145.6m
SERIES C
Aug 2016
$25m
SERIES B
Total funding: $183.1m
Company benefits
- Stock Options
- 90% employer-paid medical, dental, and vision insurance
- Company-paid Basic Life Insurance
- 401(k) retirement plan (Traditional and Roth)
- Paid Holidays
- FSA (Flexible Spending Accounts)
- HSA (Health Savings Account)
- Employee Assistance Program through PEO
Company HQ
Showplace Square, San Francisco, CA
Leadership
Uday Kumar
(Founder & Senior Advisor)Currently Advisor for Stanford Byers Center for Biodesign. Previously Board Member at Madorra Inc. Qurious.io and G-Tech Medical.
Douglas Devine
(CEO)Formerly CFO at Evident Scientific, GLOBALFOUNDRIES and UTAC. Also held several C-suite positions at iRhythm Technologies.
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