Data Scientist Assistant 1 - Diabetes/Endocrinology

Vanderbilt University Medical Center•Nashville, TN

4d•Onsite

About The Position

Vanderbilt University Medical Center (VUMC), located in Nashville, Tennessee, is a community dedicated to advancing health and wellness through preeminent programs in patient care, education, and research. Vanderbilt Health is committed to fostering an environment where individuals thrive, their expertise is valued, and their abilities are challenged. The mission is to change the world through teaching, discovery, and patient care. The Data Scientist Assistant 1 position is within the Division of Diabetes, Endocrinology and Metabolism, which boasts a rich tradition of clinical, investigative, and training excellence with over 70 faculty and staff. This division participates in a wide range of clinical programs and both clinical and basic science research, also focusing on training the next generation of physicians and scientists through programs in Endocrinology and Obesity Medicine, as well as funded T32 and T35 training programs. Data Scientists at VUMC perform detailed analyses of large, heterogeneous data sets to uncover new patterns and insights that can impact patient health or enhance human capabilities. They possess deep expertise in data analysis methods and a profound understanding of various data types, topics, scientific challenges, and approaches. This knowledge is crucial for informing and defining new products, experiences, and technologies. This specific role collaborates with Data Science and Informatics faculty to provide technical thought leadership and works closely with Informatics and IT teams to develop data and intelligence-driven systems designed to solve complex client problems.

Requirements

Relevant Work Experience
3 years of experience
Master's degree
Subject matter knowledge within a professional area

Responsibilities

Participates in multidisciplinary teams to design, develop, and recommend new approaches for data-driven decision-making.
Leads discovery processes on pioneering Artificial Intelligence (“AI”)/Machine Learning (“ML”) based approaches to solve complex data problems across a variety of domains.
Provides strategic direction regarding data science and AI in a specific area (e.g., cancer, surgery, planning services, marketing, healthcare delivery).
Guides and educates data science teams to provide unbiased and accurate information, analysis, consultation, and recommendations to support strategic and operational data science initiatives.
Develops analytics tools that can be used by other staff with non-technical expertise.
In some positions, may work with enterprise executive leadership to advance digital strategy.
Makes strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices.
Supports scientific projects under the supervision of a designated senior level data scientist or self-direction.
Designs, develops, applies, and modifies scripts or software applications to support data management, extraction, and analysis.
Provides consultative services and is responsible to gather, analyze, present findings to leadership.