The Arc Institute is seeking a Machine Learning Research Lead to develop sophisticated machine learning foundation models to capture cell states and infer gene regulatory networks and causal relationships to predict therapeutic interventions for Alzheimer's disease.
Requirements
- Proven expertise in machine learning applications to biological datasets, with specific experience in single-cell profiling data and foundation model development
- Deep experience with interpretable machine learning approaches for biological systems (e.g. variational inference methods)
- Advanced technical skills in machine learning frameworks, particularly PyTorch, and ideally experience with model training at scale
- Experience with scRNA-seq, Perturb-seq and other datasets
- Background in neurodegeneration research including familiarity with Alzheimer's disease datasets, pathways, networks, disease mechanisms, and eQTL analysis is a plus
- Experience with modern transformer- and diffusion-based architectures
Responsibilities
- Develop and execute on a roadmap of interpretable machine learning approaches to understand disease mechanisms
- Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo models
- Develop predictive modeling approaches to identify how perturbations can move cell states from high risk Alzheimer’s profiles back to healthy / low risk states
- Collaborate closely with experimental biologists to ensure ML models are grounded in disease biology and can feedback into future experimental strategies
- Foster collaborations with external partners in the computational biology and neuroscience communities
- Publish high-impact research through preprints, journal publications, open source code, and presentations at leading conferences
Other
- Attract, build and lead a team of exceptional machine learning research scientists
- Provide effective team leadership, mentorship, and management
- Present complex machine learning concepts to both computational and biological audiences
- PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related quantitative field
- 7+ years of relevant experience with a minimum of 3 years of people management experience
