Principal Clinical Data Scientist

Novartis Farmacéutica
United Kingdom
GBP 80,000 - 100,000
Job description

We are seeking a Principal Data Scientist to be responsible and accountable for managing all Data Management activities using advanced data management tools and techniques with respect to cost, quality, and timelines for all assigned trials/projects within Clinical Data Acquisition and Management. The position is a key collaborator and strategic partner with stakeholders ensuring that data management activities for the clinical trials are executed efficiently with timely and high-quality deliverables (in alignment with the Novartis Clinical Data Quality Statement). This role reports to the Director Data Management.

About the Role

Key Responsibilities:

  1. Lead data management activities as Trial Clinical Data Scientist for complex priority trial(s) or as a Project/Program Clinical Data Scientist for moderate complexity non-priority project(s)/program in study set up and accountable for all conduct/close out deliverables.
  2. Co-ordinate activities of Data Scientist either internally or externally. Make data management decisions and propose strategies at study or project level.
  3. Ensure alignment with the TA level data strategy as defined by the TA Data Strategy Director.
  4. Be competent in relevant CDISC or other recognized industry standards and understand how these impact the programming team. Ensure consistency of program level standards.
  5. Provide accelerated feedback to assure well-written, stable protocols and amendments aligned with Program standards and requirements.
  6. Recognize and resolve protocol issues that may impact database design, data validation, and/or analysis/reporting, minimizing the data footprint to focus on the trial endpoints and ensuring utilization of available data standards.
  7. Build and maintain effective working relationships with cross-functional teams, able to summarize and discuss the status of deliverables and critical data management aspects (timelines, scope, resource plan), e.g., as Clinical Data Acquisition & Management representative in study- or project-level team.
  8. Review eCRF, assess the need for additional study-specific CRF, discuss data structures and review activities, and ensure project-level standardization which allows pooling.
  9. Demonstrate strong leadership, collaboration, and organizational skills with proven ability to successfully manage simultaneous trials and meet deadlines.
  10. Possess an excellent understanding of clinical trials methodology, GCP, and medical terminology.
  11. Have proven ability to interrogate and view data through various programming/GUI techniques.
  12. Anticipate challenges and risks and proactively suggest/implement solutions.
  13. Work under pressure demonstrating agility through effective and innovative team leadership.
  14. Exhibit excellent interpersonal skills and proven ability to operate effectively in a global environment. Ability to influence and communicate across functions and to external stakeholders.
  15. Ideally have 9+ years’ experience in Drug Development with at least 8 years' in Clinical Data Management.
  16. Transfer own knowledge to others. Experience as a Trial Data Scientist for several studies and some work performed at a project level.

Why Novartis? Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!

Commitment to Diversity & Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.

Division: Development

Business Unit: Innovative Medicines

Location: United Kingdom

Site: Home Worker

Company / Legal Entity: GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.

Functional Area: Research & Development

Job Type: Full time

Employment Type: Regular

Shift Work: No

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