Associate Scientist, Informatics II
Core
Develop and deploy automated image analysis workflows and machine learning solutions for digital pathology, spatial biology, and multi-modal omics studies to support drug discovery research.
Role type
Associate Scientist, Informatics (Digital Pathology & Image Analysis)
Builds
Scalable image analysis pipelines, automated workflows, and integrated database systems for histology and spatial biology datasets.
Domain
Pharmaceutical R&D, Digital Pathology, Spatial Biology, Machine Learning
Deliverable
production ML models
Required skills
Python, image analysis platforms (Visiopharm, Qupath), machine learning, deep learning, database architecture, cloud computing (AWS), scientific computing libraries
Preferred skills
Molecular pathology techniques, spatial transcriptomics, multiplexed immunofluorescence, biology/immunology background
Technologies
Python, NumPy, Pandas, SciPy, Scikit-learn, AWS, Visiopharm, Qupath, Halo, Image J, GraphPad Prism, Spotfire
Responsibilities
Design ML/DL approaches for cell segmentation and phenotyping; perform image registration and alignment; develop custom scripts and automated pipelines; configure and optimize scalable compute resources; architect and integrate databases; troubleshoot software issues; collaborate with pathologists and data scientists; document workflows and algorithms.
Seniority
Mid-level IC (3+ years experience with Bachelor's or Master's degree)
