Associate Scientist, Informatics II

AbbVie seeks an Associate Scientist in Informatics to develop and deploy automated image analysis workflows for digital pathology and spatial biology research. The role combines machine learning, scientific programming, and collaboration with multidisciplinary teams to advance quantitative pathology endpoints in immunology drug discovery.

Responsibilities

• Develop, validate, and deploy automated image analysis workflows for histopathology and spatial biology applications
• Design machine learning approaches for cell segmentation, phenotyping, biomarker quantification, and spatial analysis with appropriate validation
• Build custom Python scripts and automated pipelines for image processing across multi-modal imaging datasets
• Architect and integrate databases into scalable systems while configuring computational resources for high-throughput processing
• Collaborate with pathologists, biologists, and bioinformaticians; present findings and contribute to publications

Requirements

• Bachelor's degree in Computer Science, Data Science, AI, Biology, or related field with 3+ years experience, or Master's degree with no additional experience required
• Demonstrated expertise in digital pathology platforms such as Visiopharm, QuPath, Halo, or ImageJ
• Strong proficiency in Python and scientific computing libraries including NumPy, Pandas, SciPy, and Scikit-learn
• Deep understanding of image processing and machine learning concepts for biomedical applications
• Working knowledge of cloud computing platforms like AWS and scalable computational workflows
• Strong problem-solving, communication, and documentation skills
• Pharmaceutical industry experience preferred; molecular pathology or spatial transcriptomics knowledge desirable