The AbbVie’s Development Sciences (Dev Sci) organization is looking for a highly motivated research scientist to serve as Director of Digital and Data Strategy. The Dev Sci organization is highly diverse group which includes multiple functions, including Preclinical Safety (PCS), Quantitative Translational and ADME Sciences (QTAS), Comparative Medicine, Clinical Drug Supply Management, and Small molecule and Biologics Chemistry, Manufacturing and Controls (CMC). The Director will help define Convergence data integration strategies and advance functional/therapeutic area priorities while maintaining alignment with the overarching R&D Convergence data integration framework and priorities. He/she will 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 will represent functional/therapeutic area in cross-functional R&D discussions and decision-making forums related to Convergence data integration. The Director will collaborate with scientists, and data scientists to select and lead projects involving the aggregation and analysis of large data sets to advance scientific understanding. He/she will ensure that projects create a substantial return on investment and a meaningful impact on advancement of the AbbVie pipeline of new medicines and/key functional/therapeutic area or R&D priorities.

　　Responsibilities

　　Influence applicable functional leadership, strategies, and investments in alignment with the R&D Convergence data integration vision.

　　Translate functional/therapeutic area 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 functional/therapeutic area 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 functional/therapeutic area, allocate resources, manage the budget, and ensure appropriate area expertise

　　Act as a conduit between the R&D Convergence Core Team and subject matter experts and data scientists within functional/therapeutic area 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 the assigned function/therapeutic area 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 12 or more years of industry experience; at least 6 years of experience enabling data analytics and insights

　　Multi-faceted, broad-based 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 one or more multidisciplinary 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 matrix 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

　　Experience with “big data” technologies such as Hadoop, Cloud Computing, and related technologies

　　Effective collaboration, influencing and communication skills

　　AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.