Advanced Analytics Consultant - NMPH - Remote within US

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. Influence evidence generation strategies through analytical expertise and thought leadership. Serve as a trusted advisor and subject matter expert on data science, AI, machine learning, and real-world evidence analytics.

Mentor and enable stakeholders on data-driven decision making and best practices in analytics. Location: Remote within US. Remote: At Medtronic, we empower our employees with flexible work arrangements while fostering collaboration, innovation, and a patient-first mindset.

This position is eligible to work remotely within the USA and requires <10% to support collaboration, business meetings, and the successful execution of projects and strategic initiatives.

Minimum Qualifications To be considered for this position, the following minimum qualifications must be evident on your resume: Bachelor's degree with a minimum of 10 years of experience in Data Analytics, Data Science, Business Analytics, Statistics, or a related quantitative field, OR Advanced degree (Master's or PhD) with a minimum of 8 years of experience in Data Analytics, Data Science, Business Analytics, Statistics, or a related quantitative field.

Nice to Have (Preferred Qualifications) Advanced degree (Master's or PhD preferred) in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline. Experience working in regulated industries such as medical devices, healthcare, biotechnology, or pharmaceuticals is preferred. Strong understanding of clinical research, clinical trials, and real-world evidence (RWE) data.

Significant experience translating complex data science analyses into actionable business and product strategies. Strong proficiency in Python and/or R for statistical analysis, machine learning, and predictive modeling. Demonstrated ability to incorporate AI-driven tools and automation into day-to-day analytical workflows.

Proven track record developing, validating, and presenting machine learning models for predictive and prescriptive analytics to technical and non-technical stakeholders. Expertise in data visualization and communicating insights through clear, compelling dashboards and presentations. Deep understanding of machine learning, statistical inference, and their application to product development and decision-making.

Excellent analytical, problem-solving, communication, and presentation skills, with the ability to influence cross-functional teams. Familiarity with synthetic data generation, simulation modeling, or digital twin technologies is a plus. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required.

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. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers.

Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. U.S. Work Authorization & Sponsorship At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact.

In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment.