Sr. Data Scientist - Clinical Operations

Company Description

Guardant Health is a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary tests, vast data sets and advanced analytics. The Guardant Health oncology platform leverages capabilities to drive commercial adoption, improve patient clinical outcomes and lower healthcare costs across all stages of the cancer care continuum. Guardant Health has commercially launched Guardant360®, Guardant360 CDx, Guardant360 TissueNext™, Guardant360 Response™, and GuardantOMNI® tests for advanced stage cancer patients, and Guardant Reveal™ for early-stage cancer patients. The Guardant Health screening portfolio, including the Shield™ test, aims to address the needs of individuals eligible for cancer screening.

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.

Qualifications

• Bachelor’s degree with 6+ years experience assessing and modeling operational cost in production environments, Cost of Goods, and/or the impact of product quality on production, and developing data analytics tools and applications in production environment
• Diverse understanding and experience of data science best practices across multiple industries or companies
• Strong understanding of Python, React, JavaScript
• Understanding and application of AI and ML techniques used to address non-standard data formats
• Demonstrated knowledge and experience using object-oriented programming and design patterns in production environments
• Experience working with a relational database
• Detail oriented with an initiative to drive tasks to completion.
• Ability to work well in a group and independently with minimal supervision
• Demonstrable ability to perform the Essential Duties and Responsibilities of this position.

Additional Information

Hybrid Work Model: At Guardant Health, we have defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance w