Sr. Data Scientist - Clinical Operations

Job Description
About the Role:
As a Sr. Data Scientist, you will work cross-functionally to help consolidate and optimize a complex digital environment comprising highly variable data types and sources and improve data flow and interpretation within the clinical operations business unit. You will work collaboratively to help define clinical operations data analytics needs and requirements for support tools and reporting that will target process optimization, error reduction, and cost reduction in all aspects and sub-functions of a service laboratory organization.
In this role, you will have the opportunity to work with, guide, and mentor a small team of junior data analysts and software engineers to design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for the Clinical Operations organization, cost savings, and product enhancement. You will interact with product and service teams to identify questions and issues for data analysis and investigation. You will develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. Identify meaningful insights from large data and metadata sources;
interpret and communicate insights and findings from analysis to product, service, and business managers.
Essential Duties and Responsibilities:
Work with operations teams and their leadership to define and develop data analysis and reporting tools specific to organizational needs, with a focus on process and cost optimization
Work with operations teams and leaders to define and develop specific software tools and applications to support organizational needs.
Define, implement, and maintain clinical operations metadata analysis infrastructure.
Work with a wide variety of data sources and formats, applying appropriate tools and technics to digest and transform the data into a consolidated and standardized format.
Design and implement a holistic data lake allowing for the aggregation of data across functional groups and internally and externally developed software tools.
Provide written documentation and specifications of software products and services. Preferably in a regulated environment such as IVD or CLIA.
Evaluate, test, and use open-source software and applications. Interface with other teams to obtain requirements and support deployed applications.