Research Scientist

• Build, fine-tune, and benchmark Machine Learning and Deep Learning models on biomedical data, with an initial focus on adapting pathology foundation models (e.g., Prov-GigaPath, Virchow, and H-Optimus-0) as well as multimodal imaging and omics models for downstream predictive tasks.
• Collaborate closely with computational biologists, oncologists, and pathologists to translate complex biological questions into well-defined machine learning problems and convert model outputs into biologically and clinically meaningful insights.
• Embed rigorous evaluation, validation, and interpretability throughout the model development lifecycle, leveraging approaches such as attention- and gradient-based methods, explainability techniques, and counterfactual analyses.
• Develop reusable and well-documented modeling frameworks, components, and best practices that accelerate future projects and promote scalability across the organization.
• Stay at the forefront of advances in computational pathology, multimodal AI, and machine learning, identifying and applying the most relevant innovations to deliver scientific impact.

Principal Scientist – Biomedical Machine Learning

• Build and own the team’s ML lifecycle tooling, including reproducible training and fine‑tuning pipelines, experiment tracking, model registries, and the packaging and deployment of deep learning models.
• Drive efficient and reproducible model development by managing compute environments, GPU workloads, and large‑scale biomedical datasets on cloud platforms such as AWS/SageMaker and Databricks.
• Transform prototype code into robust, reusable solutions, establishing frameworks, templates, and best practices that accelerate delivery across projects.
• Collaborate closely with data engineering, platform, and AI science teams to integrate ML solutions into the broader Computational Innovation ecosystem.
• Evolve from ML platform ownership toward applied ML/DL development, contributing increasingly to model adaptation, fine‑tuning, evaluation, and the delivery of AI solutions for scientific use cases as the platform matures.

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Principal Scientist – Biomedical Machine Learning

Associate Principal Scientist, Senior Machine Learning Engineer