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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.
Sr. Manager, Clinical Analytics (Scientific Analytics)
Lake County, Illinois Req ID 2120174 Category Research and Development Division AbbVieClinical Analytics is an ambitious team of Data Scientists with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose data analytics solutions.
The Sr. Manager, Clinical Analytics is a people manager role within Clinical Analytics and is responsible for talent management and operations delivery. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems. Ensures consistency in analysis techniques and delivery against cross-functional analytics and visualization requirements. Accountable for gathering cross-functional input into the development of Advanced Analytics capabilities, and ensures follow-through via robust project management and stake holder management
- Manages a team of associates and data scientists in clinical analytics
- Responsible for coaching, mentoring and performance management of direct reports, as well as talent development in alignment with DSS strategy
- Leads cross-functional initiatives with matrixed teams; connects with cross-functional leadership and enables analytics capabilities to drive data-driven operations and decision making
- Influences the cross-functional stakeholders to identify opportunities to unleash the full-potential of data and analytics
- Drive the definition, design, implementation and validation of cutting-edge algorithms to analyze disparate data sources to achieve targeted outcomes by leveraging machine-learning and Artificial Intelligence approaches, predictive and statistical modeling concepts, clustering and classification techniques
- Ensures consistent analytics support to the AbbVie Clinical Trial and Precision Medicine portfolio through effective resource management, prioritization, and timeline management
- Fosters innovation and entrepreneurial culture within the team that attracts and retains top talent; creates an environment of continuous learning
- Collaborates across R&D functional areas to link data and key learnings for broad impact on complex, cross-functional projects involving multiple scientific and/or clinical discipline and Advanced Analytics methodologies. Capable of translating complex data science findings to broad audiences (both technical & non-technical)
- Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
- Bachelor’s or Master's degree in statistics, mathematics, analytics, bioinformatics, data science or equivalent field with 8+ years (BS), 6+ years (MS) or 4+ years (PhD) of related experience
- Must have 2+ years’ experience with people management and talent development
- Intermediate-level proficiency in R, SAS or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
- Intermediate proficiency with visualization tools like Spotfire, Tableau or equivalent
- Experience with Hadoop platforms and related “big data” technologies is preferred
- Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred
- Demonstrated project management skills
- Experience with Machine Learning and other advanced analytics techniques preferred
- Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
- Demonstrated problem-solving and analytical skills. Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
- Demonstrated ability to influence Sr. Executives and cross-functional leaders
- Good understanding of clinical development functional areas and related processes
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