Insights analyst
Core
Design and build next-generation machine learning systems (digital twins, foundation models) to predict clinical outcomes, discover biomarkers, and enable precision patient stratification for drug discovery and clinical trials.
Role type
Senior Scientist, AI/ML for Translational and Clinical Sciences
Builds
Patient-level digital twins, predictive ML models for clinical endpoints, multimodal data integration pipelines, and interpretable biomarker discovery tools.
Domain
Biopharmaceuticals, Oncology, Rare Diseases, AI/ML for Healthcare
Deliverable
production ML models
Required skills
Python, PyTorch/JAX/TensorFlow, transformer architectures, self-supervised learning, causal inference, survival analysis, statistical validation, longitudinal clinical data handling, GxP compliance
Preferred skills
digital twin development, multimodal representation learning (vision-language, GNNs), multi-omics integration, cloud platforms (AWS/Azure/GCP), MLOps, regulatory deployment (SaMD)
Technologies
PyTorch, JAX, TensorFlow, GPU/TPU, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Design and validate patient-level digital twin models; develop and fine-tune foundation models for biomedical data; build predictive models for clinical outcomes and adverse events; develop scalable pipelines for multimodal data integration; identify and validate novel biomarkers; design ML-driven patient stratification strategies; collaborate with clinicians and statisticians; publish research in top-tier venues; ensure regulatory and ethical compliance.
Seniority
Senior, hands-on IC with strategic influence and mentorship
