Data Science & Algorithms Engineer

Key Skills

Algorithms, Data science techniques, Deep Learning, Deep neural networks, Docker, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, Statistical modeling, TensorFlow

Job Description

Position Description:

• Responsible for R&D of medical devices related to continuous glucose monitors. Improves the performance of continuous glucose sensors through the application of advanced signal processing techniques, advanced statistically driven analytics, data science, machine learning, mathematical modeling, and experimentation.
• Build and develop data driven products with prediction and forecasting capabilities. Generate machine learning and statistical modelling algorithms through Python, TensorFlow and Java MATLAB using large scale diabetes related datasets.
• Leverage advanced analytics methods, modeling, signal processing to include Kalman filtering, and time-varying frequency analysis for Fourier transforms and Wavelets. Enable research workbench for the team to run deep learning algorithms such as Deep Neural Networks, reinforcement, supervised and un-supervised learning. Productionize developed algorithms through docker and modular environment such as Application Programming Interface and microservices.
• Build data infrastructure and analytical environments using cloud computing and performance Clusters to interact with big scale datasets. Perform research on novel analytical methods and generate documentation reports such as specifications, engineering reports, test plans, test procedures, validation plans, and validation reports.
• Navigate the complexities of providing medical data analytics in a regulated medical device environment to include FDA regulations including (ISO) 13485.

This position is open to telecommuting from anywhere in the United States. Multiple positions available.

Basic Qualifications:

Master’s degree in Electrical Engineering, Computer Science, Biomedical Engineering, Mathematics, Physics or related discipline.

Must possess a minimum of one (1) year with each of the following (experience maybe gained through internships, research, coursework and/or work experience): Machine learning and statistical modelling for development and production systems using Python and MATLAB;

Statistical analysis and hypothesis testing for large data sets with application to biomedical engineering; Advanced analytics methods, modeling, signal processing to include Kalman filtering, time-varying frequency analysis for Fourier transforms and Wavelets; Artificial Intelligence with machine learning algorithms including neural networks, reinforcement learning, supervised and un-supervised learning; Deployment of machine learning algorithms through docker and modular environment such as Application Programming Interface and microservices; Analytics on big scale database using tools to include cloud computing and High-Performance Clusters; and produce written documentation to include specifications, engineering reports, test plans, test procedures, validation plans, and validation reports.

Min Salary USD: 128,800

Max Salary USD: 161,000