Data Scientist

• Ways of Working:
  Remote - This job will be remote and/or the job is designed to be performed outside of the office. Employees will come onsite when requested by the leader.
• Employee Type:
  Employee
• Min. Salary Region 1: 150100 USD
• Global Job Level (HCM):
  Professional 3 (9)
• Min. Salary Region 2: 127600 USD

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive
. As a global leader in robotic-assisted surgery and minimally invasive care
, our technologies—like the da Vinci surgical system and Ion
—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare
, you’ll find your purpose here.

Primary Function of Position

This position is part of the evidence strategy and research function supporting da Vinci platforms and applies data science, statistical, and analytical methods to generate scientific evidence about the performance, use, and impact of Intuitive products, technologies, and procedures for the Cardiac Surgery Program. The Data Scientist partners with scientific, medical, clinical, research, data, product, and engineering teams to address evidence gaps with rigorous analytical approaches.

The role works with complex surgical, robotic system, product-generated, clinical, financial, and other data sources to support retrospective and prospective research. The Data Scientist contributes across the research lifecycle, from research question development and data feasibility through analysis, interpretation, and scientific dissemination.

This position has responsibility and authority for the following:

• Partner with scientific, medical, clinical, research, product, engineering, and evidence stakeholders to translate evidence needs into clear research questions, study designs, analytical plans, and appropriate data science approaches.
• Design, execute, and interpret analyses using da Vinci system, product, procedural, research, clinical, financial, and other relevant healthcare data.
• Evaluate and apply appropriate statistical and data science methods, including descriptive and inferential statistics, longitudinal analysis, experimental and quasi-experimental methods, causal inference, predictive modeling, and machine learning, based on research questions and available data.
• Conduct data exploration and feasibility assessments to characterize datasets, evaluate data quality and fitness for use, identify potential sources of bias or confounding, and inform research design and evidence-generation opportunities.
• Provide analytical expertise across retrospective and prospective research studies, including development of hypotheses, endpoints, feasibility assessments, statistical analysis plans, derived variables, metrics, and analytical methods.
• Develop reproducible analytical workflows using Python, SQL, and other appropriate tools, and collaborate with data engineering, data management, and technical teams to establish analysis-ready datasets and understand data provenance and limitations.
• Interpret and communicate analytical methods, findings, uncertainty, limitations, and implications to…