Principal Software Engineer

Element Science•Redwood City, CA

6h•$190,000 - $200,000•Hybrid

About The Position

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: We are looking for a hands-on Principal Software Engineer to drive the development of our software ecosystem comprising of Cloud services and client applications to support our life-saving wearable medical devices. These Cloud services include a data platform containing data from our wearable medical devices 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 software-related business needs, and can execute software design, development, and testing. This is a hybrid role based in our San Francisco or Redwood City, CA office, with a planned transition to Redwood City within the year. Candidates located outside of the Bay Area may be considered for a remote arrangement.

Requirements

B.S. in Computer Science, Engineering, or equivalent.
8-12 years minimum of relevant industry experience with 2 years minimum in technical leadership. Medical device industry experience preferred.
Experience with architecture, design and implementation of Cloud services following best practices on reliability, security, operations, performance, and cost. HIPAA compliance experience is preferred.
Extensive hands-on experience with development of Cloud services using Python, Java, or C#. Strong knowledge of AWS is highly desirable.
Extensive knowledge of REST and SOAP, as well as SQL and NoSQL databases and services.
Experience with JIRA and Git based repositories is highly desired.
Experience with leading software projects within a cross-functional team environment.
Excellent written and verbal communication skills.

Nice To Haves

Preferred experience with development of data platforms for aggregation, processing and display of device and business systems data to drive design changes and business decisions.
Preferred experience with developing or interfacing with machine learning algorithms.
Preferred experience with development of iOS and Android mobile applications using native or cross-platform frameworks.
Preferred experience with system design method from IDesign.
Preferred familiarity with medical system integration (EMR, for example) using standards such as HL7 FHIR.

Responsibilities

Lead the architecture, design, implementation and testing of a reliable, scalable, secure and HIPAA compliant software ecosystem including Cloud services for receiving, processing, and storing relevant data from multiple sources, and clients such as mobile, desktop and web applications.
Perform hands-on software development for Cloud services and client applications as needed.
Collaborate with Product Management, Firmware Engineering, Algorithms & Data Science, and Information Technology teams to define and deliver business value.
Drive data platform design and implementation for wearable device and business operations data, including storage, transformations, and interfaces with machine learning algorithms.
Define technical content and deliver software design documentation covering architecture, design, requirements, verification and system/cybersecurity risks.
Drive technical roadmap, software quality and best practices in collaboration with software team and software management.
Provide technical guidance and mentorship across the software engineering team.
Manage software projects as needed.