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Scientist II / Senior ML Scientist, Data-Efficient Learning for Drug Discovery
Lila Sciences
London, England, United Kingdom
Full Time
On Site
Senior
USD 228,000 – 358,000
Postgraduate Degree
Science & Research
Healthcare Life Sciences
Posted 2 days ago
Job summary
Lila Sciences seeks a Machine Learning Scientist specializing in data-efficient methods for drug discovery, focusing on building models from low-quantity, high-quality datasets, and designing strategies for optimal data acquisition. The role involves developing active learning, meta-learning, and multimodal models to support scientific decision-making in chemical space, working closely with experimental and computational teams.
Responsibilities
You will build machine learning models and data acquisition strategies to optimize drug discovery in low-data regimes. The role involves developing closed-loop systems that integrate experimental, computational, and structural data to guide scientific decision-making.
Qualifications
Active Learning
Data-efficient learning methods
Deep Learning frameworks (PyTorch, JAX)
Experimental Design
Machine Learning
Meta-learning
Model Training
Multimodal Modeling
Transfer Learning
Uncertainty Estimation
A PhD or equivalent experience in machine learning, computational chemistry, or a related field is required. Candidates must have strong experience in data-efficient learning methods and the ability to collaborate across multidisciplinary scientific teams.
English
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Employer-paid life insurance
- Disability insurance
- Flexible time off
- Paid parental leave
- Educational assistance program
- Commuter benefits
- Subsidized lunch program
- Equity
Company
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Scientist II / Senior ML Scientist, Data-Efficient Learning for Drug Discovery
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Lila Sciences
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