About the RoleWe are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology. This role will focus on developing and applying foundation models to large-scale perturb-seq and single-cell datasets to uncover new biological mechanisms and therapeutic opportunities. You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities.
Key Responsibilities- Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets.
Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data. - Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights.
- Collaborate with experimental biologists to align computational methods with experimental design and discovery goals.
- Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts.
- Publish methods and results in top scientific journals and present at conferences.
Qualifications- PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline.
- Strong expertise in single-cell data analysis, particularly perturb-seq
- Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders).
- Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat).
- Experience in developing scalable ML methods for large biological datasets.
Preferred- Background in causal inference, generative models, or representation learning for biological systems.
- Familiarity with multi-omics integration and cross-modal foundation models.
- Track record of impactful publications in computational biology, machine learning, or related fields.
CompensationWe offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $212,000 - $265,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
