Data Scientist Assistant 1 - Genetic Medicine (Term Position)

Vanderbilt University Medical Center•Nashville, TN

About The Position

Data Scientists perform detailed analyses of large bodies of heterogeneous data to discover new patterns and insights that impact patient health or augment human capabilities. Data Scientists have deep expertise in the methods used to analyze data and deep knowledge of data types, topics, and scientific challenges and approaches that will be used to help inform and define new products, experiences, and technologies. This position works in conjunction with Data Science and Informatics faculty to provide technical thought leadership and works closely with Informatics and IT teams to create data and intelligence-driven systems to solve complex client problems. The Division of Genetic Medicine and Clinical Pharmacology is a robust and dynamic division, innovating across its research and clinical missions to integrate genome variation and function to better define biological mechanisms of human disease. A leader in personalized medicine, the division aims to understand how basic molecular, biochemical and cellular processes are altered in various pathological conditions, seeking to identify novel therapeutic interventions for human diseases. The division is closely tied to the Vanderbilt Genetics Institute, which leads the nation in mapping the complex interactions between our genome and human health.

Requirements

3 years relevant work experience
Master's degree

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.