Software Engineer (algorithms)

VivoSense: Data Algorithm Engineer

USA – Remote (accepting applicants in CA, CO, MA, MD, NJ, NY, NC, TX, FL, NV, OH, OR, GA)

About Us

Since 2010, VivoSense has been the premier science and technology company delivering end-to-end services and solutions for clients collecting clinical data from digital health technologies (DHTs), such as wearable sensors, mobile applications, and connected health monitoring tools. Working with drug developers, healthcare providers and academics, VivoSense develops and validates real-world digital clinical measures that matter to patients, and provides advanced software, analytics, and scientific expertise to improve the quality, accuracy, timeliness and ease of data analysis and insight generation from complex DHT data.

In 2022, VivoSense secured Series A financing, and we are growing our team as we evolve our software platform, establish R&D capabilities and expand our client-facing business. We are seeking a talented and motivated individual to join our science team to bring expertise and the highest levels of quality to our client partnerships.

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 Data 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 / R / 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.
• 0 to 6 years of experience (will accept no experience if PhD)

Nice to haves:

• Work within a regulated Quality Management System, such as ISO 13485 or 21CFR820
• 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.

Base Salary Range:

$120,000 - $160,000 DOE

Additional Benefits/Perks:

1. Unlimited PTO
2. Board approved stock options
3. Board approved annual bonus
4. Direct access to senior leadership
5. Healthcare
6. Vision/Dental
7. Life Insurance
8. Professional growth training
9. 401K with Safeharbor employer contribution
10. Remote work
11. Flexible working hours
12. Amazing culture and team to work with

Salary : $120,000 - $160,000