Data Science Engineer II — Medical Sensor ML

USA-Medtronic MiniMed, Inc 1017; Los Angeles (CA); On-site; USD 97,000 - 165,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) plan with company match

Employee Stock Purchase Plan

Job summary

MiniMed in Northridge, CA is seeking an enthusiastic data/algorithm analyst with strong coding skills to advance glucose sensor technology through machine learning, signal processing, and mathematical modeling. You will process and analyze clinical datasets, develop algorithms, and document findings for cross-functional teams.

The role emphasizes data-driven decisions in R&D, with emphasis on MATLAB/Python and a lifecycle of development, testing, validation, and collaboration across projects in

Qualifications

• Requires a Bachelor's Degree and minimum 2 years of relevant experience, or advanced degree with 0 years.
• Experience with sensor data is preferred.
• Proficiency in MATLAB and Python for algorithm development.

Responsibilities

• Contributes to innovation and development of glucose-sensing technology and modeling.
• Analyzes large sensor and clinical datasets to derive conclusions.
• Applies machine learning and signal processing to develop and evaluate algorithms in MATLAB or Python.
• Translates requirements into maintainable, well-documented code.
• Performs algorithm implementation, testing, and validation per SDLC best practices.
• Documents methods and results for engineering and clinical study teams.

Skills

Sensor data

Signal processing

Machine learning

Team collaboration

Education

Bachelor's Degree

Advanced degree (MS/PhD)

Tools

MATLAB

Python

Job description

MiniMed in Northridge, CA is seeking an enthusiastic data/algorithm analyst with strong coding skills to advance glucose sensor technology through machine learning, signal processing, and mathematical modeling. You will process and analyze clinical datasets, develop algorithms, and document findings for cross-functional teams.

The role emphasizes data-driven decisions in R&D, with emphasis on MATLAB/Python and a lifecycle of development, testing, validation, and collaboration across projects in