Our Fortune 500 Medical Device client has an exciting opportunity for an R&D Data Engineer I.

Job Summary: In this exciting role, you will support the data and development of complex electro-mechanical medical device systems within the Interventional Cardiology Coronary Therapies team. This role will utilize a variety of new and proven technologies to deliver life-changing medical devices to patients and clinicians in support of Client’s mission.

Responsibilities: ·         Review, annotate, and prepare medical images to support machine learning & classical algorithm development. ·         Maintain the storage and organization of medical images, annotations, and associated information. ·         Develops and supports validation of tools for analyzing data sets and processing medical images through commercial & exploratory algorithms. ·         Write and run unit tests ·         Support code refactoring and testing code written by others ·         Collaborate closely with data scientists, cloud data engineers, algorithm engineers, clinical engineers, software engineers and systems engineers locally and globally ·         In all actions, lead with integrity and demonstrate a primary commitment to patient safety and product quality by maintaining compliance to all documented quality processes and procedures. ·         Querying datasets: Writing Python scripts ·         Will be involved in some software tool validation activities

Required Qualifications ·         Bachelor’s degree in computer science, Software Engineering, Data Science, Biomedical Engineering or related field ·         Experience with SQL and MATLAB or Python ·         Self-motivated with a passion for solving problems. ·         Excellent organizational, communication, and collaboration skills Other Details: ·         Schedule: 08:00 AM - 04:30 PM (CDT) ·         Contract Length: 6 Months (Possible Temp-to-Hire) ·         Work Set-up: Hybrid (3-days onsite) in Maple Grove, MN and will eventually transition to onsite from M-F

Requirements SQL, Python, programming languages, software validation, medical device, medical imaging, data engineering, data query