Associate Director, Data Science
Core
Spearhead R&D of AI/ML algorithms to analyze multimodal medical images, digital pathology, spatial-omics, and molecular biomarkers for discovering novel biomarker solutions in drug development.
Role type
Associate Director, Imaging and Omics AI Analytics Research
Builds
Reusable software/analytics pipelines and AI/ML capabilities integrated into drug development applications
Domain
Biopharmaceutical R&D, Medical Imaging, Omics, AI/ML
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Neural network architectures (CNNs, RNNs, GNNs, Transformers), Foundation models/LLMs, Python, PyTorch, TensorFlow, AWS/Azure/Google Cloud, Medical imaging modalities (MRI, CT, PET), Biobank/EHR data analytics
Preferred skills
Image processing (segmentation, registration, feature extraction), Disease biology (cardiometabolic, immunological, neurological), Leadership in partnerships
Technologies
scikit-learn, CUDA, MLFlow, Spark, Databricks, Dataiku, ITK, SimpleITK, OpenCV
Responsibilities
Develop AI/ML pipelines for multimodal data analysis, Collaborate with cross-functional teams to identify research questions, Partner with external institutions to access state-of-the-art technologies, Present AI/ML technology to stakeholders and author technical reports
Seniority
Senior, hands-on IC with leadership responsibilities
