Introduction

At GraphWear Technologies Inc, we are on a mission to provide continuous medical diagnostics to every human. Without any needles or a doctor’s appointment. Headquartered in San Francisco, GraphWear is first addressing the global diabetic pandemic. We are eliminating painful and expensive blood glucose monitors with a continuous needle free glucose monitoring system.

Passionate people who want to make a difference drive our culture - our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real-world experiences to help us think in new ways. Join a team committed to taking big leaps forward to make a difference in the quality of life of patients and quality of care from healthcare providers.

Description

We are looking for an individual with experience working with low frequency physiological signals who is motivated to help prevent and manage chronic diseases. At GraphWear, you will join a multidisciplinary company and will work closely with our hardware and software teams. Your role will primarily consist of extracting key parameters from our sensor signals to calibrate the data and output actionable values to the users.

The candidate must demonstrate exceptional experience in the following:

Feature extraction and engineering particularly for the calibration and modeling of low frequency physiological signals and high frequency signals from different non physiological sources
Statistical data analysis, pattern recognition and data visualization
Predictive methods to improve estimation accuracy (including but not limited to Bayes, Markov, Kalman, Monte Carlo approaches)
Linear and nonlinear data modeling / regression, space transformation
Real time convolution and deconvolution algorithms for 1d signals
Time series analysis, frequency domain analysis (Fourier transform) and time frequency characterization (wavelet, short time Fourier transform)
Able to work with CI/CD pipelines
Causal algorithm development and implementation
Python 3 or equivalent

Responsibilities:

Design the sensor calibration pipeline for GraphWear’s signal, including modeling data from all sources into actionable equations
Design experiments with R&D team to determine key parameters and implement to achieve factory calibration
Work closely with the R&D and software team
Communicate progress and formulate development plan / timeline
Maintain a clean, organized, and documented code stack that can be easily translated from python to live environment (mobile OS / server back end)

Minimum education / experience required:

Master’s degree or higher in data science, mathematics, physics, or equivalent field
3+ years experience working with digital physiological signals, quantitative analytics / data modeling. Prior CGM experience strongly preferred
Applicant must be able to work in the United States
A can-do attitude that will allow the individual to grow during their time at GraphWear

What we offer:

Salary range: $110,000 - $160,000 per year.
Work in top-tier VC backed Series B startup in San Francisco: the heart of Silicon Valley with an exceptionally talented team
Work with highly passionate and inspiring colleagues
High-energy atmosphere of a bold, young company disrupting the medtech industry
Competitive compensation package with strong benefits plan and equity
Lots of freedom for creativity and personal growth
Excellent opportunity to be a part of ground-breaking innovation and make a lasting impact.

This position is open for full-time candidates. This position is on-site at our offices in San Francisco. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Due to the nature of our business and the role, please note that you may be required to show current proof of vaccination against certain diseases, including COVID-19. GraphWear Technologies Inc., is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. GraphWear Technologies Inc. will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if GraphWear Technologies Inc., is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. Find out more about the Fair Chance Act by visiting the California Department of Fair Employment and Housing’s Fair Chance Act webpage.

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