Senior Machine Learning Scientist (Single Cell)
Core
Design and implement generative and predictive models of cellular behavior using single-cell multi-omics data to drive disease understanding and novel therapeutic strategies.
Role type
Senior Machine Learning Scientist (Single Cell)
Builds
Generative models for cellular decision-making and predictive models for intervention effects
Domain
Biotech / Single-cell multi-omics / Generative AI
Deliverable
production ML models
Required skills
Generative modeling, causal inference, counterfactual prediction, experimental design, Python, scalable ML tooling, high-performance computing, distributed training, model optimization
Preferred skills
Single-cell ML ecosystem tools, high-impact ML-biology publications, perturbational/interventional dataset experience (Perturb-seq, CRISPR)
Technologies
Python, agentic workflows, distributed training frameworks
Responsibilities
Design generative models learning intervention effects from biological data; Develop models focusing on generalization and causal coherence; Collaborate with experimental teams to validate computational hypotheses; Evaluate models for mechanistic fidelity and utility in guiding interventions; Communicate findings to interdisciplinary stakeholders
Seniority
Senior, hands-on IC
