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AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Director, Discovery Catalyst

Lake County, Illinois Req ID 2113105 Category Research and Development Division AbbVie

The Director will help define Convergence data integration strategies and advance Discovery priorities while maintaining alignment with the overarching R&D Convergence data integration framework and priorities. Act as a key member of the R&D Convergence (Data Integration) Core team responsible for defining and executing the R&D Convergence strategy and represent Discovery in cross-functional R&D discussions and decision-making forums related to Convergence data integration. Collaborate with scientists, clinicians, and data scientists within functional/therapeutic area and across R&D to identify and lead projects involving the aggregation and analysis of large data sets to identify key trends and insights that advance scientific understanding. Ensure that projects create a substantial return on investment and a meaningful impact on Discovery’s ability to drive the pipeline.

  • Influence applicable Discovery leadership, strategies, and investments in alignment with the R&D Convergence data integration vision.
  • Translate Discovery business challenges and scientific questions into hypotheses that can be tested using data analytics to drive new learning
  • Partner with R&D Computational Scientists, Data Scientists, and technology teams to advance complex and/or highly novel use-cases with cross-functional dependencies
  • Identify opportunities and solutions to unleash the full value of Convergence data integration within Discovery at an accelerated pace
  • Lead matrix teams including scientists, data scientists and MD’s at all levels of the technical and medical career ladders
  • Lead Convergence data integration projects within Discovery, allocate resources, and ensure appropriate area expertise
  • Act as a conduit between the R&D Convergence Core Team and subject matter experts and data scientists within Discovery to transfer innovation, knowledge, best practices, and lessons learned
  • An active member of the community of R&D Convergence Directors across other R&D functions and enable cross-pollination of ideas for broader R&D implementation
  • Act as a consultant within the assigned functional/therapeutic area to help identify where Convergence data integrations and analytics approaches can help answer questions
  • Influence the talent strategy within Discovery to continually enhance the digital skills and acumen of scientists and leaders to align with the Convergence data integration strategy
Qualifications:
  • Ph.D. with approximately 8-10 years of industry experience; at least 3 years of experience enabling data analytics and insights
  • Experience in multiple R&D functions and data domains (e.g., preclinical, genomic, clinical, safety, regulatory, real world data, etc.). Considered to have in depth knowledge of drug discovery and development
  • Demonstrated excellence and success in leading data integration and analytic programs to major milestones or insights
  • Effective interpersonal and communication skills and proven ability to collaborate across multi-disciplinary teams and leading and navigating in a matrixed organization
  • Robust understanding of the data analytics value chain from data to decision
  • Proven experience with successfully enabling new digital or data science capabilities that are beyond incremental extensions of the current capabilities
  • Advanced knowledge of machine learning techniques, predictive modeling, statistical methodologies, and visual analytics is a plus.
Significant Work Activities: N/A
Travel: No
Job Type: Experienced
Schedule: Full-time
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