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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 LifeWe 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 learningExperience in medical device, healthcare, life sciences, or other regulated industriesStrong understanding of clinical research, clinical trials, and real-world evidenceKnowledge of patient-reported outcomes (PROs) and patient-centered evidence generationAbility to translate complex analyses into clear strategic recommendationsExperience building scalable analytics capabilities, frameworks, and data-driven solutionsStrong business acumen with the ability to connect insights to clinical, regulatory, reimbursement, and commercial outcomesKey Responsibilities: Data Science & Advanced AnalyticsAnalyze, 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 LearningApply 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 & VisualizationEnsure 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 & PartnershipPartner 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 QualificationsTo 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,ORAdvanced 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.Benefits & CompensationMedtronic offers a competitive Salary and flexible Benefits PackageA commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.Salary ranges for U.S (excl. PR) locations (USD):$156,800.00 - $235,200.00This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location.The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program).The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).
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