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Postdoctoral Fellow in Machine Learning, Data Science and Wearable Devices

NSF Innovative Postdoctoral Entrepreneurial Research Fellowship (NSF I-PERF)

Location: Dallas, TX or Remote

About Alva Health

Alva Health is developing a wearable neuromonitoring platform with the first indication in real-time stroke

detection. We are a Yale University spinout company that is backed by Techstars, the National Science

Foundation and the National Institutes of Health. Alva Health’s mission is to develop a wearable medical

device to monitor stroke at home and to allow for the initiation of emergency response in a timely

manner. Our patented technology uses wearable sensors to continuously monitor and detect

hemiparesis, one of the hallmarks of stroke onset. Once deployed, our solution will dramatically improve

stroke emergency response and increase the number of patients receiving IV tPA and other reperfusion

therapies in the acute setting. Alva Health was recently named the Grand Prize winner out of 1100

applicants at the 2021 MedTech Innovator competition. The company has raised $2M in non-dilutive

grant funding to date, and we are preparing to raise a Seed round to accelerate through the next

development phases.

As a postdoctoral associate, you will contribute to the development of our first product, a wrist-worn

device for continuous, long-term, real-time monitoring and detection of stroke onset at home, by

leveraging your deep understanding of real-time time-series analysis, machine learning, deep learning,

data science, bioinformatics, and cloud and edge computing. You will co-lead the analysis of results from

our ongoing clinical studies, and present key findings in journals and at conferences alongside executive

management. Your work will deepen our understanding about the role of wearable sensor data as a tool

for monitoring and detection of stroke onset, with potential applications to other movement-based

neurological conditions and brain injury.

Your Role at Alva Health:

  • You will have an opportunity to work with biomedical time series including audio and video, single modality and multimodal wearable sensor data, task-based and passively collected data, activities of daily living surveys, and electronic health record data

  • Conduct statistical analysis of emerging results from our feasibility studies

  • Create models for the prediction of passive/active states and sleep/wake states

  • Participate in design control procedures for our solution

  • Perform literature reviews to remain current with the latest techniques, and computational tools, and propose new research directions

  • Draft scientific abstracts and manuscripts for publication in journals and presentation at conferences

  • Contribute to grant applications and investor presentations

  • Contribute to the design of future clinical trials

Preferred Qualifications:

  • Recent Ph.D. in engineering, computer science, and applied mathematics

  • Domain expertise with wearable sensors or other biomedical time-series data, though experience with other large data sets will be considered

  • Track record of success as an independent researcher, demonstrated by first-author peer-reviewed publications, conference presentations, etc.

  • Experience with R, Python, MATLAB, or Julia

  • Experience with C/C++

  • Knowledge of code versioning tools such as Git

  • Experience with software engineering

  • Experience with experimental protocol design

Our Commitment to You:

  • We are a mission-driven company providing an opportunity to work on a transformational solution that will significantly improve the lives of people living with a high risk of stroke

  • You will be an integral part of our technical team working with the CEO, Founders, and the Advisory Board

  • Opportunity to shape our company culture

  • A modern approach to work – remote work and flexible work hours are available


Equal Opportunity Employer:

  • Alva Health is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status

  • We view our team’s diversity as a competitive advantage, and we are committed to building a diverse and inclusive environment for people of all backgrounds. We highly encourage applications from members of socio-economically disadvantaged groups, underrepresented groups in science and engineering, persons with disabilities, veterans of the U.S. Armed Forces, and first-generation college graduates

Eligibility Requirements:

  • United States Citizen, National, or Permanent Resident of the United States

  • Candidate has not participated in an industrial postdoctoral fellowship sponsored by NSF within the last six months

Compensation & Benefits:

  • $78K per year for up to two years

  • Premium medical, dental, and vision insurance, life insurance, holidays, and three weeks PTO

  • Potential equity compensation if the contract extends beyond one year

  • Professional conference travel allowance

  • Professional development training through ASEE, to develop high-demand skills in areas such as entrepreneurship, design, and project management

How to Apply:

This position is being offered in partnership with the National Science Foundation. Candidates must

indicate their interest by sending an email with CV or Resume to, and set up a

profile to apply directly on the NSF I-PERF portal.

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