Arc Institute · 5 days ago
Machine Learning Research Lead, Alzheimer's Disease Initiative
Palo Alto, CA
Full-time
Onsite
Senior Level
$338K/yr - $400K/yr
7+ years expArc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. They are seeking a Machine Learning Research Lead for their Alzheimer's Disease Initiative to develop sophisticated machine learning models to understand and potentially treat Alzheimer's disease.
BiotechnologyNon ProfitTraining
Responsibilities
Attract, build and lead a team of exceptional machine learning research scientists dedicated to developing foundation models for cellular systems in Alzheimer's disease
Develop and execute on a roadmap of interpretable machine learning approaches to understand disease mechanisms, with emphasis on variational inference, causal modeling, as well as modern transformer- and diffusion-based architectures
Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo models, working with scRNA-seq, Perturb-seq and other datasets to unravel causal gene pathways relevant to Alzheimer’s disease
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
Qualification
Required
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
Strong research background with experience in academic settings (university, research institute) and/or biotech/pharmaceutical industry with a focus on scientific innovation
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
Publications in top-tier journals in computational biology and machine learning
Excellent communication skills with ability to present complex machine learning concepts to both computational and biological audiences
Proven ability to remain technically hands-on while providing effective team leadership, mentorship, and management
Preferred
Background in neurodegeneration research including familiarity with Alzheimer's disease datasets, pathways, networks, disease mechanisms, and eQTL analysis is a plus
Benefits
This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.
Company
Arc Institute
Arc Institute is a biomedical science and research technology company.
51-200 employees
H1B Sponsorship
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2025 (24)
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Funding
Current Stage
Growth StageLeadership Team
Alden Woodrow
Chief Operating Officer
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2026-01-16
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