Advanced Analytics Consultant - NMPH - Remote within US

Location: Minneapolis

We anticipate the application window for this opening will close on - 14 Aug 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first - developing innovative medical technologies that improve the lives of 72+ million patients each year.

Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life We are seeking a highly experienced and business focused Advanced Analytical Consultant/Sr. Principal Data Scientist to join our Neuromodulation and Pelvic Health (NMPH) team. In this role, you will transform clinical and real‑world data into strategic insights that influence clinical, regulatory, and market decisions.

This is a unique opportunity to build a patient-centered evidence analytics capability from the ground up, leveraging clinical and real-world data to inform critical clinical, regulatory, reimbursement, and business decisions. Working at the intersection of data science, healthcare innovation, and patient outcomes, you will help shape the future of Neuromodulation and Pelvic Health therapies through advanced analytics and real-world evidence while building a next-generation analytics function that drives meaningful patient impact and organizational success.

As a strategic partner and technical expert, you will work across therapies and functions to identify opportunities, develop advanced analytical solutions, and generate insights that improve patient outcomes and drive business success. You will help define a future-state analytics ecosystem by establishing scalable methodologies, tools, and data science capabilities that support evidence generation, innovation, and decision-making. The ideal candidate combines deep technical expertise, healthcare innovation, and the ability to translate complex clinical data into actionable insights that influence decisions and create meaningful patient impact.

The most successful candidates bring a combination of technical excellence, industry expertise, and strategic thinking, including:
* Expertise in data science, statistics, artificial intelligence, and machine learning
* Experience in medical device, healthcare, life sciences, or other regulated industries
* Strong understanding of clinical research, clinical trials, and real-world evidence
* Knowledge of patient-reported outcomes (PROs) and patient-centered evidence generation
* Ability to translate complex analyses into clear strategic recommendations
* Experience building scalable analytics capabilities, frameworks, and data-driven solutions
* Strong business acumen with the ability to connect insights to clinical, regulatory, reimbursement, and commercial outcomes

Key Responsibilities:

Data Science & Advanced Analytics
* Analyze, clean, transform, and model complex clinical and real-world datasets to generate actionable insights.
* Apply advanced statistical techniques to support forecasting, prediction, classification, and decision-making.
* Analyze data from clinical studies, registries, claims databases, electronic health records (EHRs), publications, and other real-world data sources to identify trends, opportunities, and unmet needs.
* Translate complex clinical, regulatory, and business questions into scalable analytical solutions.
* Design, build, and maintain predictive models, analytics workflows, and decision-support tools that inform evidence generation and strategic planning. Artificial Intelligence & Machine Learning
* Apply AI and machine learning approaches to accelerate data discovery, automate analyses, and improve analytical efficiency.
* Develop, validate, and deploy predictive and prescriptive models using state-of-the-art methodologies.
* Integrate scalable and repeatable data science solutions into enterprise platforms, workflows, and business processes.
* Evaluate emerging AI and advanced analytics technologies to drive innovation and competitive advantage. Data Strategy, Management & Visualization
* Ensure data quality, integrity, and governance across analytical projects and data assets.
* Develop intuitive dashboards, reports, and visualizations that enable stakeholders to quickly understand and act on insights.
* Extend internal datasets through integration of external data sources to enhance analytical capabilities and evidence generation efforts.
* Conduct ad hoc analyses and effectively communicate findings and recommendations to technical and non-technical audiences. Cross-Functional Leadership & Partnership
* Partner closely within Clinical Research and cross-functionally with Regulatory, Health Economics & Reimbursement, Marketing, R&D, and IT teams to address strategic business opportunities.
* Identify, prioritize, and execute high-value analytics initiatives that advance organizational objectives.
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