Intern Data Scientist - Regulatory and Quality Analytics

Company Description

At Intuitive, we are united by our mission: we believe that minimally invasive care is life-enhancing care. Through innovation and smart technology, we extend the capabilities of doctors to heal without restrictions.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster a diverse and inclusive team, dedicated to making a difference. For more than 25 years, we've assisted hospitals and healthcare teams globally to address the toughest challenges in healthcare and push the boundaries of what's achievable.

Intuitive has been formed through the efforts of outstanding individuals from a variety of backgrounds. We believe that great ideas can emerge from anywhere. We strive to foster an inclusive culture that promotes diversity of thought and mutual respect. We lead with inclusion and empower our team members to work at their best as their true selves.

People driven by passion for making a difference define our culture. Our team members are rooted in integrity, have a robust capacity to learn, the energy to get things done, and diverse, real-world experiences that help us think in new ways. We actively invest in our team members to bolster their long-term growth so they can continue to drive our mission forward and reach their fullest potential.

Join a team committed to taking significant strides for a global community of healthcare professionals and their patients. Together, let's evolve the world of minimally invasive care.

Job Description

This internship works closely with the Senior Data Scientist and offers a thrilling opportunity to acquire first-hand experience in the Medical Device Industry. The internship is designed to familiarize the intern with the industry with a focus on how Intuitive uses data and analytics to ensure quality in our products and services. The intern will gain foundational knowledge in numerous aspects of the data analytics pipeline, such as database comprehension, design and execution, data consolidation and management, data visualization, and advanced analytics. Working alongside the Senior Data Scientist, the intern will concentrate on one or two fundamental projects, resulting in a presentation to the team leaders. Our objective is to offer the intern an environment to learn and develop, as well as make significant contributions to the team’s goals.

Roles & Responsibilities:

The duties and responsibilities of the Data Scientist Intern will be tailored based on the credentials and educational level of the chosen student. In general, the intern will have the opportunity to work under the guidance of our senior members and gain experience in the following areas:

• Writing SQL queries to extract information from cloud-based databases, perform data reformatting, and consolidation.
• Creating or enhancing dashboard reports using Tableau as a business intelligence (BI) reporting tool.
• Data mining and extracting valuable data from various sources.
• Utilizing machine learning tools to choose features, develop, and optimize classifiers.
• Conducting preprocessing of structured and unstructured data.
• Analyzing large amounts of information to identify patterns and propose solutions.

If the selected candidate has prior training in statistics, and is proficient in advanced programming using R, R-Shiny, or Python, we can offer advanced data analytics projects. These projects will provide exposure and experience in areas such as machine learning (ML), artificial intelligence (AI), natural language processing (NLP), and forecasting.

Qualifications

 University Hiring Program Eligibility Requirements:

• University Enrollment: Applicants must currently be enrolled in and planning to return to an accredited degree-seeking academic program in the Fall.
• Internship Work Period: Applicants must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates will be communicated during the recruitment process.

Skills, Experience, Education, & Training:

• Master level student or PhD candidate majoring in Statistics/Biostatistics, Applied Mathematics, Information Science, quantitative engineering or other related fields
• High passion and energy in applying quantitative techniques to tackle business opportunities
• Skilled in SQL Programming and open source language(s) (Python or R)
• Knowledge and training in statistics is not a requirement but certainly a big plus
• Preference is given for in-person training and effective communication to candidates from the San Francisco Bay Area or remote students who are able to work in that area (at your own cost) during the intern training period.

Additional Information