ML Scientist for Biology

Responsibilities

• Contribute to ML research on reasoning models for biological discovery and autonomous science
• Explore methods to evaluate, guide, and reinforce agentic model behavior in biological domains
• Help develop evaluation and benchmark datasets for biological reasoning tasks
• Analyze multi-modal biological data to identify useful signals for model evaluation and improvement
• Prototype workflows that connect model reasoning, evaluation, and scientific feedback
• Communicate findings through code, notebooks, written summaries, and presentations

Requirements

• Currently enrolled in a PhD program in Computer Science, Machine Learning, Computational Biology, Bioengineering, or a related quantitative field
• Research experience in machine learning, AI for science, computational biology, or biological data analysis
• Strong programming skills in Python
• Experience with modern ML frameworks such as PyTorch or JAX
• Experience working with biological, scientific, or multi-modal datasets
• Interest in reasoning models, agentic systems, evaluation methods, or benchmark design
• Ability to communicate research findings clearly

Preferred Qualifications

• Experience with reasoning models, agentic systems, reinforcement learning, or model evaluation
• Experience developing benchmarks, evaluation datasets, or model assessment workflows
• Publications, preprints, or presentations in ML, AI for science, or computational biology

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.