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, cell segmentation/phenotyping models, and integrated database systems for histology and spatial transcriptomics.
Domain
Pharmaceutical R&D, Digital Pathology, Spatial Biology, Machine Learning
Deliverable
production ML models | product features
Required skills
Python, image analysis platforms (Visiopharm, Qupath, Halo, ImageJ), machine learning, deep learning, database architecture, cloud computing (AWS), scientific computing libraries (NumPy, Pandas, Scikit-learn)
Preferred skills
Molecular pathology techniques (IHC, IF, ISH), spatial transcriptomics, multiplexed IF, biology/immunology background, pharmaceutical industry experience
Technologies
Python, Visiopharm, Qupath, Halo, ImageJ, AWS, NumPy, Pandas, SciPy, Scikit-learn, GraphPad Prism, Spotfire
Responsibilities
Develop and validate automated image analysis workflows; 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 multidisciplinary teams; present analytical methods and results.
Seniority
Mid-level IC (3+ years experience with Bachelor's or Master's degree)
