Key Responsibilities

• 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.

Minimum Level of Education Required

• Bachelor of Science (Life sciences, Mathematics, Statistics, Computer or data science)

Minimum Level of Job-Related Experience Required

• 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

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at [email protected] to discuss your needs.

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