Overview

We are seeking a talented and passionate Machine Learning Engineer to develop and deploy cutting-edge machine learning solutions that leverage complex biological and clinical data. In this role, you will analyze and model large, multimodal clinicogenomic datasets that integrate genomic, transcriptomic, clinical, and real-world patient data at scale. By applying advanced machine learning approaches, you will uncover novel biomarkers, stratify patient populations, and generate actionable discoveries that inform drug development and precision medicine. Responsibilities

Develop and deploy maintainable, scalable, and reliable machine learning models while applying principles of modular design and testing. Handle and process large-scale cancer genomic and transcriptomic datasets, converting RNA and DNA data into high-quality deliverables for clinicogenomic correlations. Scale model training by utilizing frameworks like PyTorch Lightning and Hugging Face Transformer...