Sr AI/Data Science Engineer

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

As a Sr AI/Data Science Engineer, you’ll play a pivotal role in designing and building cutting-edge data pipelines and lead diabetes clinical research efforts in a data rich environment. This is an exciting opportunity to collaborate with cross-functional teams, solve complex challenges, and improve the lives of those within the global diabetes community.

This role offers a flexible working setup, with the option for hybrid work. Occasional travel may be required to collaborate with team members or stakeholders on key projects. You'll be joining a forward-thinking organization that values innovation, collaboration, and continuous learning, making it the perfect place to grow your career while contributing to transformative solutions.

Responsibilities may include the following and other duties may be assigned:

• Design, plan, execute device data management plans for clinical research projects.
• Design, development, evaluation and modification of computer programs to analyze and evaluate clinical data.
• Implement data management plans designed to meet project and protocol deadlines.
• Plan, execute and coordinate programming activities for database manipulations, transfer and analysis of data for internal and external clients.
• Manage large projects or processes and exercise considerable latitude in determining deliverables of assignments with limited oversight from manager.
• Data Quality & Governance: Implement data validation, monitoring, and alerting frameworks to ensure accuracy, consistency, and security of data assets.
• Collaboration & Documentation: Understand requirements, translate business needs into technical solutions, and document data schemas, pipeline designs, and best practices.
• Explore and integrate innovative data tools, including LLMs and agentic systems, into the existing data ecosystem to enhance analytics and automation.

Required Knowledge and Experience:

• Master’s degree in Computer Science, Engineering, Information Systems, Statistics or Data science.
• Minimum 2 years of relevant experience within medical device industry or related roles.
• Experience using clinical data management system (i.e. Oracle Clinical / Medidata and SQL) and data analysis (i.e. PYTHON, R, MATLAB and data visualization).
• Extensive experience with data mining and processing.
• Experience with version control systems, especially Git, including Git user interfaces (e.g., GitHub, GitLab).
• Soft skills: Strong analytical and problem-solving skills; effective verbal and written communication skills; customer-focused mindset with the ability to adapt to evolving needs; collaborative, proactive, and able to build trust with both internal and external stakeholders; comfortable navigating ambiguity and solving complex, large-scale problems; curious, resilient, and motivated to continuously improve and explore new solutions.

Desirable qualifications: Solid understanding of clinical device/drug development process. Understanding of data privacy and security standards (GDPR, HIPAA). Exposure to BI tools (Looker, Tableau, Power BI) and dashboard development.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package

We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.