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Senior Algorithm Engineer

Remote

Senior Algorithm Engineer

US REMOTE (AZ, CA, CO, FL, GA, MA, MD, NC, NJ, NH, NV, OH, OR, PA, TN, TX)

 

About VivoSense

 

VivoSense is a science and technology company specializing in digital health technologies (DHTs), including wearable sensors, mobile applications, and connected monitoring tools. We partner with pharmaceutical sponsors, healthcare providers, and academic groups to develop and deliver real-world digital clinical measures backed by rigorous scientific and analytic expertise.

 

Job Description

We are looking for an ambitious individual with a passion for learning new things, and a self-starter attitude. As a small company, this Senior Algorithm Engineer will have the opportunity to come in on the ground floor, build greenfield products, enhance existing algorithms, design, and architect the solutions, and share in the success of our rapidly growing company. This person should be comfortable with navigating through an ambiguous environment, coming up with solutions that fit the user’s needs, and then implementing them.

What you'll do:

  • Develop and implement data algorithms and machine learning models for tasks such as signal processing, anomaly detection, classification, and prediction using biometric (physiological, anthropometric etc.) data.
  • Utilize advanced signal processing and mathematical modeling principles to create and enhance algorithms tailored for applications in areas such as activity tracking and sleep analysis.
  • Clean and preprocess raw physiological data to remove noise, outliers, and errors. Apply filtering, normalization, and feature extraction techniques to prepare the data for analysis.
  • Evaluate the performance of different algorithms and models using appropriate metrics, such as accuracy, sensitivity, specificity, and AUC-ROC. Choose the best-performing models for specific tasks.
  • Create informative data visualizations and dashboards to present biometric data and analysis results to healthcare professionals, researchers, and stakeholders.

Who you are:

  • Master’s or Ph.D. in a field related to data science, machine learning, computer science, bioinformatics, biomedical engineering,
  • Understanding physiological data and its clinical or research applications
  • Proficiency in signal processing techniques of filtering, feature extraction, and time-series analysis
  • Strong grasp of Programming, with fluency in Python / data manipulation libraries.
  • Experience in developing and optimizing algorithms for data analysis and machine learning, particularly for physiological data applications. This includes anomaly detection, classification, prediction, and feature engineering.
  • 3 to 7 years of experience

 

 

Nice to haves:

  • Work within a regulated Quality Management System, such as ISO 13485 or 21CFR820
  • Familiarity with R
  • C# or C ++ fluency
  • Able to work in a small team fast paced environment
  • Experience / Knowledge with any of the following:
    • AWS
    • Medical terminology, healthcare regulations, and relevant physiological processes.

Additional benefits and perks

  • Unlimited PTO
  • Board approved stock options
  • Board approved annual bonus
  • Direct access to senior leadership
  • Healthcare
  • Vision/Dental
  • Life Insurance
  • Professional growth training
  • 401K with Safe Harbor employer contribution
  • Remote work
  • Flexible working hours

 

VivoSense is an Equal Opportunity Employer and E-Verify participant.

 

Please note: Our hiring process includes, but is not limited to, a final round in-person interview, background check, employment verification, and professional reference checks.

 

This role is open only to candidates residing in the following states: AZ, CA, CO, FL, GA, MA, MD, NC, NH, NJ, NV, OH, OR, PA, TN, TX. If you do not reside in one of these states, you will not be eligible for consideration at this time. If you are not able to work in the United States without sponsorship or extensions, we will not be able to accept your candidacy for this role.

 

Base Salary Range:

$120,000 - $160,000 DOE

 

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