AI Scientist, BioMedical AI

📋 Description

• Design, train, and refine foundation models for perturb-seq.
• Build pipelines for preprocessing, normalization, and integration of single-cell data.
• Apply ML/AI to model cellular responses to perturbations and infer causal insights.
• Collaborate with experimental biologists to align computations with experiments.
• Develop multimodal integration across transcriptomic, epigenomic, and proteomic readouts.
• Publish methods and results in top journals and present at conferences.

🎯 Requirements

• PhD or equivalent in Computational Biology, CS, Bioinformatics, or related field.
• Strong expertise in single-cell data analysis, perturb-seq.
• Foundation models or large-scale self-supervised learning (transformers).
• Strong coding in Python, PyTorch/TensorFlow, and Scanpy/Seurat.
• Experience in scalable ML methods for large biological datasets.
• Background in causal inference or generative/representation learning for biology.
• Familiarity with multi-omics integration and cross-modal models.
• Track record of impactful publications in computational biology or ML.

🎁 Benefits

• Competitive compensation and equity.
• Open, flexible, friendly work environment.
• Summary of Benefits available to all applicants.
• Equal opportunity employer.