Arc Institute
Director, Machine Learning, Alzheimer's Disease Initiative
Palo Alto, CA · Director
Sponsorship not specified$380k-$420kDetected 41 days ago
Full-Stack DevelopmentMachine LearningPyTorchNLPExcelBioinformaticsCRISPRResearchLab ResearchAnimal StudiesAnimal ModelsLeadershipCommunicationMentoringPublic Speaking
About the role
- About Arc Institute Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases.
- Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.
- More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
Responsibilities
- Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.
- You are excited about building and leading a technical team while remaining hands-on with foundation model development and implementation.
- 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
Requirements
- 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 ability to remain technically hands-on while providing effective team leadership, mentorship, and management
Nice to have
- Background in neurodegeneration research including familiarity with Alzheimer's disease datasets, pathways, networks, disease mechanisms, and eQTL analysis is a plus
Compensation
- The base salary range for this position is $380,000-$420,000.
Benefits
- You are passionate about machine learning and computational biology, with expertise in applying cutting edge ML approaches to biological systems
- You excel at developing interpretable machine learning approaches, such as variational inference and causal modeling methods
- You are a continuous learner who stays current with the latest developments, in both machine learning and neuroscience
- Attract, build and lead a team of exceptional machine learning research scientists dedicated to developing foundation models for cellular systems in Alzheimer's disease
- PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related quantitative field
- 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
Company info
- About Arc Institute
- Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases.
- Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.
- Unlike academia, our scientists have long-term funding and industry-like resources.
- Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures.
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