Principal Research Scientist I

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

AbbVie Precision Medicine Pathology organization is committed to driving tissue based translational and biomarker efforts for our pre-clinical and clinical stage programs. We are seeking a highly motivated ML/AI scientist to join our expanding computational pathology group to revolutionize digital pathology and precision medicine. Candidates for this senior position should have several years of experience in the field, a passion for research, and a track record of productivity and accomplishments. They should enjoy working in a fast-paced, dynamic and highly interactive environment. Their scientific leadership will enable them to independently and expertly guide teams in their approaches to quantitative image derived data generation and interpretation.

The ideal candidate will apply their expertise in computer vision and AI to analyze complex microscopy image and spatial-omics datasets, enabling breakthroughs in companion diagnostics, biomarker discovery, and personalized treatment strategies. As a computational pathology scientist, you will be embedded in our small but evolving organization that works closely with colleagues in the various pathology laboratories as well as with the research pathologists. You will provide scientific leadership to our team as you interface with investigators in discovery and late-stage research across our spectrum of disease areas which ranges from oncology, cancer immunotherapy, immunology, to neuroscience.

Key Responsibilities:

• Lead the design, development, and deployment of state-of-the-art machine learning algorithms such as deep learning, representation learning, and self-supervised learning to solve key challenges in tissue image analysis, segmentation,