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 talented and motivated Machine Learning (ML) Scientist to develop and apply advanced Artificial Intelligence (AI) techniques for analyzing complex histopathology and spatial omics datasets. This is a hands-on role ideal for candidates who are passionate about learning, collaborating, and driving innovation in the exciting intersection of machine learning, digital pathology, and precision medicine.

As a computational pathology scientist, you will be an integral part of a highly cross-functional team, working closely with colleagues from pathology laboratories and collaborating with research pathologists and assay scientists. You will engage with investigators involved in both discovery and late-stage research across a spectrum of disease areas, including oncology, cancer immunotherapy, immunology, and neuroscience, leveraging your AI expertise to advance our team's research objectives.

Key Responsibilities

• Develop, train, and validate machine learning models for tissue image analysis, including segmentation, object detection, and classification.
• Apply advanced techniques such as deep learning and representation learning to solve key challenges in digital pathology.
• Curate and maintain large-scale pathology datasets, ensuring data quality and integrity for robust model training and evaluation.
• Develop and implement tools and pipelines for data preprocessing, feature engineering, and model deployment.
• Collaborate with pathologists, biologists, statisticians, data analysts, and fellow engineers to integrate machine learning solutions into existing workflows.
• Assist in external collaborations with research partners to enhance project outcomes and foster innovation.
• Assist in evaluating histopathology and spatial omics datasets to identify biomarkers that inform patient stratification and companion diagnostic efforts.
• Stay updated on the latest developments in AI, machine learning, and digital pathology techniques, and bring these insights to ongoing projects.