Data Scientist/Sr. Data Scientist- Oncology Early Development

Company Description

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.

Job Description

This role will work within Oncology Early Development (OED)’s operational analytics group to parse, clean and curate data sets in order to be usable in AI/ML models. These data will be a combination of internal and external operational data and real world data. This data scientist will be tasked to evaluate various parameters for use in modeling. In addition, the role will require creation of multiple AI/ML models to identify trends, recommend operational paths forward and predict study timelines. This data scientist will work under the team’s principal data scientist to engage various parts of the business, including late stage operations, to ensure no duplicative efforts are being performed and that the modeling is in line with company policies and guidelines. This role will use statistics, business analytics, data engineering, and machine learning techniques to provide actionable insights that drive efficiency, support decision-making, and enhance products. The ideal candidate will possess strong analytical skills, a passion for data science, and a desire to learn and grow in the field.

Core Job Responsibilities:

· Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions

· Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized

· In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to cre