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At GSK, we unite science, technology, and talent to get ahead of disease together. Our goal is to improve the lives of billions across the world. By bringing together outstanding people in an inclusive environment, we can make an impact on a global scale.
Job Responsibility
Partner with study teams to define, document, and configure/develop data analytics aids, AI enabled analytics tool management, required to execute clinical trial as per protocol and regulatory requirements
Acts as a subject matter expert and lead within own discipline to investigate new technology including AI enabled data analytics and visualization, new software development, BOTs, automation etc. as directed
Strong understanding of AI/ML use cases and LLM models and able to provide oversight to vendors supporting AI enablement projects
Provides required contribution to complex technical tasks, including development of AI enabled dashboards, ML, data preparation and programming of data visualizations tools (e.g. Python, Domino, Databricks, CluePoints MSR, CluePoints CMP, Spotfire, Jreview, etc.)
Contributes to, the planning, coordination and execution of multiple data and programming activities to deliver all required outputs
Ensures the collection of programs/outputs and issues are adequately managed for programming activities to achieve business outcomes
Shares learnings with peers and contributes to internal technical discussions/forums
Anticipates problems within discipline, proactively uses own expertise and/or seeks input from others, to recommend solutions and influence appropriate change
In matrix discussions uses technical expertise to provide innovative solutions to project related problems of colleagues and of other projects
Makes decisions on the implementation of programming possible solutions for low risk pieces of work and proactively proposes options for higher risk activities. Later contributes to the maintenance, bug fixing, and enhancements to implemented solutions
Contributes to the development or improvement of departmental policies and working practices. Develops responses to audit/inspection questions and complete CAPAs within agreed timelines
Requirements
Bachelor of Science (Life sciences, Mathematics, Statistics, Computer or data science)
Hands-on, proven experience with analytics and visualization, data preparation using Python, programming data visualizations tools
Proven proficiency in data analytics requirements collection and documentation from customers at various levels of the organization
Proficiency in AI enabled analytics
Effective communication, engagement and influencing experience at the department and external level
Negotiation experience with management on issues which are high risk to the business