Associate Director/Principal Data Scientist, Trial Acceleration Analytics (On-Site, Illinois Based) - AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions 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, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Purpose: Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers 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 solutions.

The Principal Data Scientist, Trial Acceleration Analytics is a key technical leadership role to enable application of advanced analytics techniques across clinical development continuum. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques. Identifies and leads use cases that are appropriate for the application of Machine Learning and Artificial Intelligence. Stays abreast of industry trends and identifies new opportunities and value propositions.

Roles and Responsibilities:

• Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques; Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations


• Build production ready advanced analytics solutions to drive effective business and scientific decisions


• 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


• Design experiments to test hypothesis across the business areas in clinical development continuum


• Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production.


• 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


• Innovate with new approaches, staying abreast of current research in the recommendations field and the broader machine-learning community. Shares technical solutions and product ideas with the team through robust documentations and effective presentations


• Responsible for coaching and mentoring junior team members. May include indirect supervision of employee and contract staff


• 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) 



 
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Significant Work Activities -Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

*This position will be required to sit on-site 3 days / week*

Qualifications:

• Bachelor’s degree statistics, analytics, bioinformatics, mathematics, data science or equivalent field. Master’s degree preferred


• 8+ years of experience building, evaluating and deploying machine learning models or other advanced analytics capabilities at scale


• Expert in the field / Principal Advisor level proficiency in R, Python or other statistical packages. Expert-level knowledge of statistical and data mining techniques. Expert-level proficiency in the application of machine learning and artificial intelligence


• Experience with visualization tools like Spotfire, Tableau or equivalent


• Proven expertise with Machine Learning and other advanced analytics techniques


• Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms


• History of coming up with innovative and creative quantitative solutions and data-driven product changes proven through practical business impact and/or publications.


• Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively


•  Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred


• Prior experience with application of AI/ML within clinical development is preferred


•  Proven leadership traits with ability to lead and inspire staff, and to influence others without direct authority.



 
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Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our short-term incentive programs. ​

• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

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.