Are you excited about working with bleeding-edge technology and building platforms and systems that have profound global business impacts? If your interests are at the intersection of AI/ML platforms, Data Engineering, Pharma R&D discovery, and working with world-renowned researchers and data scientists, then read on for an exciting new opportunity at GSK!
The Principal Engineer, AI Ops will use modern big data technologies to help accelerate drug discovery at GSK by fulfilling the following critical duties: Work on the flow and supply of data used by GSK's world class scientists and AI/ML engineers, and contribute to a team that will build and operate a knowledge graph to be used as a source of scientific truth by scientists and computational biologists for gene to disease mapping and pharmacological discovery.
The person in this role will maintain the flow of data from source systems (RDBMS, unstructured) into the knowledge graph and other stores, build processes that query the graph, and maintain APIs that serve end scientific users, and maintain and monitor these systems in a secure, mission critical environment.
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
We are looking for professionals with these required skills to achieve our goals:
If you have the following characteristics, it would be a plus:
Our values and expectations are at the heart of everything we do and form an important part of our culture.
These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
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