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Principal Algorithms & Data Science Engineer

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San Francisco (CA)

Hybrid

USD 200,000 - 212,000

Full time

Today
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Job summary

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.

Benefits

Stock Options
90% employer-paid medical, dental, and vision insurance
Company-paid Basic Life Insurance
401(k) retirement plan
Competitive Paid Time Off
Paid Holidays

Qualifications

  • 8-12 years minimum of relevant industry experience in the medical device industry.
  • Strong experience applying advanced mathematical techniques to solve engineering problems.
  • Experience leading algorithms development from feasibility through product commercialization.

Responsibilities

  • Lead the ideation, design, development, and testing of algorithms for wearable medical devices.
  • Collaborate with teams to define Cloud-based data architectures for device data.
  • Drive implementation of scalable methods for machine learning algorithm development.

Skills

Machine learning concepts
Python coding skills
Project leadership in cross-functional teams
Advanced mathematical techniques
Experience with physiological signals

Education

Bachelor's degree in CS, EE, Physics, Math, or related field
Advanced degree

Tools

Python
MATLAB
C/C++
AWS Cloud tools
Job description
Overview

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.

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 .
  • 8-12 years minimum of relevant industry experience. Experience in medical device industry .
  • 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 . 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

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.

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