Manager Data Analytics

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.

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