Contract: Data Scientist / USA

Description:

• Accountable for clinical data analysis, application of statistical methods for data analysis, and any supporting technologies.
• Ensures consistency in analysis techniques and delivery against cross-functional data review requirements.
• Accountable for gathering cross-functional input into the development of Integrated Data Review Plan (IDRP).
• Ensures clinical data integrity and quality prior to analysis.
• Supports cross-functional data review teams using statistical methods and state-of-the-art business intelligence tools

Responsibilities:

• Establishes standards to be used in the design and development of key system interfaces.
• Supports the execution of all DSS processes and systems involved throughout the clinical trial lifecycle.
• Performs analysis tasks in support of clinical trial data integrity.
• Actively collaborates with Data Sciences stakeholders to provide objective evidence in support of clinical analysis
• Ensures consistency across deliverables within and across therapeutic areas and business partners
• Identifies opportunities for process improvement and value creation by using objective data-based evidence
• Identifies opportunities for automating data quality checks using advanced statistical techniques
• Leverage emerging statistical methodologies like machine learning to drive innovation in the clinical trial data realm
• Oversees the delivery of data analysis and review deliverables.
• Ensures alignment across the data sciences team members.
• Leads a matrixed and cross- functional data review team in support of clinical trial life cycle
• Influences key stakeholders across functions and across hierarchies

Qualifications:

Minimum Education:

• Bachelor's degree Statistics, Bioinformatics or equivalent field
• Master's degree preferred
• Must have 2+ years of clinical research or analytics related experience (and/or applicable work experience), including 1 years (and/or applicable work experience) demonstrating a high level of core, technical and leadership competencies through cross-functional initiatives.
• Effective leadership skills with a proven ability to foster team productivity and cohesiveness.
• Demonstration of successful coaching/ mentoring.
• Demonstration of successful execution in a fast-paced environment managing multiple priorities effectively