Principal Data Scientist I

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 X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Group 

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 

Purpose 

Conceive, design and implement new tools that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data. Work closely with science team to understand scientific needs, and generate new proposals based on those needs, and lead the efforts to bring the proposals to fruition. Investigate, identify, develop, and optimize new methods, algorithms, and technologies to derive novel, competitive insights from disparate data sources, or to drive productivity and efficiency gains. Act as a lead data scientist in area of expertise and critically evaluate relevant scientific and technological advances and integrate this knowledge into new solutions to drive science. 

Responsibilities 

• Effectively function as a principal investigator, generating new scientific or technological proposals and leading those efforts.  

• Anticipate and critically evaluate scientific or technological advances or competitive threats and respond with appropriate new strategies. 

• Conceive, design and implement new solutions that solve significant scientific or business 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, and analysis of large and complex data sets. Broad expertise in machine learning, software development, data warehousing, and statistics. 

• Demonstrate deep knowledge of the pharmaceutical and healthcare business, with a particular focus on the science done in Development Biological Science, and utilize this knowledge in the rapid advancement of impactful solutions. 

• Operate independently with guidance or oversight from a supervisor when needed. 

• 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. 

• Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security. 

• Bachelor’s Degree or equivalent education and typically 14 years of experience, Master’s Degree or equivalent education and typically 12 years of experience, PhD and typically 6 years of experience.    

• Strong background in machine learning (ML) modeling for scientific applications  

• Excellent written and oral English communication skills. 

• Ability to work in a global environment with teams at multiple sites. 

Preferred:  

• The ideal candidate brings a blend of strong scientific experience in the biotech/pharma industry and excellent IT skills. 

• Background and experience in core Development Biological Sciences data and workflows a strong plus, including but not limited to toxicology, pathology, and pharmacokinetics data and workflows. 

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

• This opportunity has remote flexibility if located within the United States. If on-site, this position is to be located at AbbVie's Abbott Park north of Chicago, IL. ​
• Leveling will be commensurate with experience.  
• 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 an equal opportunity employer and 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.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html 

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html