Company Description
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.
Job Description
Primary Function of Position
The Ion endoluminal system is Intuitive's robotic platform for minimally invasive biopsy in the
peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. Ion’s Data
team is responsible for developing analytical tools that generate insights and drive decision
making for internal and external stakeholders. The successful candidate in this role will be a
contributor to a high-performing data science team to develop data models, analytics, and related
applications.
Essential Job Duties (Specific responsibilities and tasks an individual would be expected to
perform in the role. Additional job duties may be determined by functional people manager)
- Collaborate with cross-functional teams and business units to understand and
communicate Ion’s needs and goals.
- Develop, improve, and maintain robust data models for transforming data from log files
and event streams.
- Ensure that our data models support our analytics and reporting objectives.
- Design predictive models and algorithms to derive insights and metrics from large
datasets
- Contribute to technical requirements definition, prototyping,
development, testing, and release.
- Communicate findings to stakeholders through
visualizations, dashboards, reports, and presentations.
- Champion best practices in software development, including
code reviews, coding conventions, testing frameworks, and design patterns.
- Assess and recommend new tools and technologies that make the data team more
effective.
