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Jeremy Zhang
Director Data Science & Knowledge Management at Gilead Sciences
Jeremy Zhang is the Director of Data Science & Knowledge Management at Gilead Sciences, a biotechnology company based in Foster City, California. He has played a pivotal role in advancing Gilead's data management and analytics capabilities, particularly through the development of the Morpheus application, which integrates artificial intelligence (AI) and machine learning (ML) to enhance organizational efficiency and data accessibility.
Professional Background
- Current Position: Director of Data Science & Knowledge Management at Gilead Sciences. In this role, he has spearheaded initiatives to build a centralized data lake using Amazon Web Services (AWS), which significantly improved the company's ability to manage and analyze clinical data.1
- Previous Experience: Prior to his current role, Zhang held various positions within Gilead Sciences and has also worked at Abbott Laboratories. His background includes extensive research experience, having served as a Graduate Research Assistant at Clemson University and an Undergraduate Research Assistant at Duke University.25
Contributions at Gilead Sciences
- Morpheus Project: Under Zhang's leadership, Gilead launched the Morpheus application, which serves as an enterprise search tool that utilizes AI and ML to streamline access to information across the organization. This project has reduced search times by approximately 50% and improved productivity by allowing teams to access analytics much faster than before.1
- Data Lake Development: Zhang was instrumental in creating a data lake that consolidates data from various enterprise systems, facilitating advanced analytics and insights within days rather than months.1 This infrastructure supports ongoing projects aimed at achieving compliance with good manufacturing practices (GxP) and enhancing predictive analytics capabilities.1
Education
Jeremy Zhang earned his degree from Clemson University, where he engaged in research that laid the groundwork for his expertise in data science and analytics.2
Online Presence
He maintains a professional profile on LinkedIn, where he connects with over 500 professionals in the field.2 His contributions to data science are also reflected in various publications and presentations related to healthcare analytics and AI applications in pharmaceuticals.34
Overall, Jeremy Zhang's work at Gilead Sciences exemplifies the integration of advanced technology into healthcare, driving significant improvements in data management and operational efficiency.
Highlights
If you're going to RE:Invent next week - stop by LFS202 on Wednesday at 5:30 where Kevin Cox, Ujjwal Ratan and I will talk about how Gilead Sciences is operationalizing Generative AI capabilities on AWS.
LFS202 | Accelerating life sciences innovation with generative AI on AWS Life sciences organizations are embracing generative AI to boost innovation and productivity. In this session, learn how Gilead uses generative AI on AWS to enable foundation model choice via unique architectural patterns and operationalize foundation model governance. Explore how this impacts Gilead’s understanding of a clinical study’s feasibility and allows them to optimize site selection through AI-driven protocol analysis utilizing both internal and real-world datasets. See how the foundation models available on Amazon Bedrock allow Gilead to generate insights from key datasets and accelerate the analysis of large quantities of unstructured information from a variety of sources across their enterprise.
#ai #generativeai #awsreinvent #gileadsciences
Seeking data scientists in Ireland! Join Gilead's growing clinical development team in Dublin where we will build AI technology for drug development. Apply if you have a passion for data, machine learning, and bringing transformational therapies to patients.
Senior Data Scientist
