Staff Machine Learning Scientist, Translational AI

QUALIFICATIONS:

• PhD in Computer Science, Computational Biology, Bioinformatics, Biomedical Engineering, or a highly quantitative structural field
• 5+ years of industry or post-doctoral experience applying deep learning frameworks to complex biological, genomic, or clinical datasets, with a documented focus on oncology or immunology portfolios
• Deep technical competency with transformer architectures, representation learning, self-supervised learning (SSL), or deep sequence modeling
• Proven track record of translating machine learning outputs into verifiable biological variables or clinical performance indicators, rather than optimizing solely for isolated cross-validation metrics
• Expert proficiency in PyTorch and modern machine learning infrastructure (e.g., HuggingFace ecosystem, PEFT, Captum, MLflow, and distributed GPU computing setups)
• Documented technical leadership through end-to-end project ownership, architectural design authority, or cross-functional team direction
• Preferred Qualifications:
• Experience constructing or fine-tuning multimodal foundation models that combine high-depth genomic sequencing data with digital pathology images or longitudinal electronic health records (EHR)