Senior Scientist, Data I

AbbVie•North Chicago, IL

8d•$96,500 - $183,500

About The Position

AbbVie Development Sciences (Dev Sci) is an integrated, cross-functional R&D organization that includes CMC (Process R&D, Drug Product Development and Analytical R&D), Biological Sciences (Preclinical Safety and Drug Metabolism, Pharmacokinetics & Bioanalysis) and Clinical Drug Supply Management functions responsible for the development of small molecule pharmaceuticals and therapeutic biologics from Discovery Candidate Selection through late stage clinical. The Data & Digital Strategy CORE team within Development Sciences defines and executes our data and digital strategy in collaboration with Dev Sci subject matter experts and Information Research (IR). The Data & Digital Strategy team partners cross-functionally to build and maintain a data and systems architecture that enables world-class knowledge management, data analytics and predictive modelling capabilities. We are looking for diverse candidates with a blend of product development, informatics and data systems experience who can help advance our data and digital capabilities.

Requirements

Bachelor’s Degree with 6 years’ experience; Master’s Degree with 4 years’ experience’ PhD with 2 years’ experience.
Possess thorough theoretical and practical understanding of own discipline.
Proven implementation of creative technology solutions that advanced the business.
Excellent written and oral English communication skills.

Nice To Haves

Background in life sciences or work experience in the pharmaceutical industry preferred.

Responsibilities

Conceive, design and implement strategies to solve significant scientific problems through the integration, visualization, and analysis of large and complex data. Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
Demonstrate high proficiency across a wide range of technologies related to the storage, transfer, integration, visualization, modeling, and analysis of large and complex data sets. Broad expertise in data warehousing, statistics, and machine learning.
Demonstrate deep knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions
Highly autonomous and productive in performing activities, requiring only minimal direction from or interaction with supervisor.
Seize opportunities to pursue relevant leads that are in line with the group’s strategy.
Proactively seek out new information and technologies in the literature/public domain and incorporate into individual project(s) as well as the overall program
May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team/individuals.
A primary author of publications and presentations.
Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.