Medtronic's Diabetes business is undergoing a separation to promote future growth and innovation, requiring individuals who can leverage increased investments to drive meaningful innovation and enhance patient care through advanced data analysis and algorithm development.
Requirements
- Robust and in-depth knowledge of Python, SQL, and/or other language used for analytics
- Proficiency with relational database technologies
- Experience writing production-level code
- Experience in a regulated environment, ideally within medical devices; medical data analytics (examples include data discovery, pattern recognition, machine learning and data modeling algorithms)
- Understanding of FDA regulations including (ISO) 13485
- Experience in CI/CD and DevOps practices
- Experience in key AWS services like S3, EC2, Lambda, CloudWatch, Sagemaker
Responsibilities
- In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.
- Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
- In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code.
- Completes programming and implements efficiencies, performs testing and debugging.
- Completes documentation and procedures for installation and maintenance.
- Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.
Other
- Hybrid/3 days week
- Excellent written and verbal communication skills; open to presenting information to cross functional audiences and leadership teams.
- Bachelor’s degree in Computer Science, Engineering, Statistics, Math, or similar field and 2+ years medical data analytics
- Advanced degree in computer science, mathematics, systems engineering, mechanical engineering, or closely related field
- The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location.
