COMPANY DESCRIPTION

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.
As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare’s hardest challenges and advance what is possible.
Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.
Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.
Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let’s advance the world of minimally invasive care.

REQUIRED SKILLS AND EXPERIENCE

• Exceptional analytic and problem solving issues
• Excellent written and oral communication skills
• Advanced proficiency in R, RShiny, SQL
• Familiarity with data engineering processes

REQUIRED EDUCATION AND TRAINING

• Master’s degree in management information management systems, computer science, data science, public health, epidemiology or related field
• 2 years of managing large research datasets such as NIS, HCUP, SEER, SEER-Medicare, Premier/PincAI PHD, Marketscan/Truven/Merative Claims, Optum MarketClarity.

PREFERRED SKILLS AND EXPERIENCE

• Doctorate Degree in management information management systems, computer science, data science, public health, epidemiology, health services research or related field.

• Evaluates real world data assets to establish whether they fulfill a gap for teams working in real world evidence generation
• Work with Procurement & Purchasing to negotiate data asset acquisition and renew contracts
• Coordinate with IT to ensure timely loading of newly acquired datasets and data refreshes
• Retrieve, maintain, and update the external large database in Azure and/or Snowflake (the internal cloud based data warehouse); Work with DE&A team for hosting the external large database in house.
• Set up the raw database by key clinical procedures to enable the automation process of customer analytics solutions. Update the clinical procedure data files according to the data renewal schedule.
• Set up the data-backed database for based on project needs from Health Economics and Outcomes Research; clean the data and generate new variables needed for specific projects.
• Validate the code lists of diagnosis, procedures and surgical approaches for key procedures. Document the evolvement of the code lists.
• Develop and validate programming for different algorithms of data analysis; Maintain and update the programming algorithms.
• Develop, manage and track the data templates in Outcome Analyzer and R code banks.
• Develop working instructions/ training guidelines and oversee revisions /updates to current WIs/training guidelines for statistical programming activities
• Create Statistical Analysis Plan (SAP), and shells for tables, listings and figures for projects.
• Quality control checks of data
• Partner and manage vendors for database, analytic platform, and code list work.