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About the Role
Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. We are seeking a Senior Machine Learning Scientist to help execute this vision by building autonomous life science systems grounded in epistemology, scientific methodology, Bayesian argumentation, and automation. This role will translate the scientific direction of Autonomous Life Science AI into working architectures, workflows, and evaluation methods that allow AI systems to reason rigorously about biological hypotheses, propose experiments, incorporate evidence, and accelerate discovery.
Responsibilities
- Build autonomous life science systems that connect AI reasoning, biological evidence, experimental design, and automated execution.
- Translate the broader Autonomous Life Science AI vision into concrete architectures, workflows, prototypes, and production-quality research systems.
- Develop methods for representing hypotheses, uncertainty, evidence, and scientific arguments in ways that enable robust machine reasoning.
- Apply Bayesian reasoning, epistemology, and scientific methodology to the design of AI systems that can propose, test, and revise biological hypotheses.
- Design agentic workflows that plan experiments, reason over results, and close the loop between computational predictions and automated laboratory feedback.
- Partner with ML scientists, experimental scientists, automation teams, and platform teams to ensure systems are biologically grounded and experimentally actionable.
- Build evaluation frameworks for autonomous discovery systems, including benchmarks for reasoning quality, hypothesis generation, evidence integration, and experimental utility.
- Contribute to the technical roadmap for autonomous life science research systems and help raise the scientific rigor of the team’s approach.
Requirements
- PhD in Computer Science, Machine Learning, Computational Biology, Statistics, Biology, or a related quantitative field.
- Strong research track record in machine learning, AI for science, computational biology, probabilistic modeling, agentic systems, or a related area.
- Deep understanding of scientific reasoning, experimental design, uncertainty, and evidence integration.
- Experience building or researching systems that reason over complex scientific, biological, or experimental data.
- Strong foundation in modern ML methods, with hands-on experience in frameworks such as PyTorch, JAX, or TensorFlow.
- Ability to translate biological questions into computational and ML problems, and to translate ML system behavior back into scientific terms.
- Strong technical judgment, with the ability to operate in open-ended research settings where the right architecture, abstraction, or evaluation method is not yet obvious.
- Excellent collaboration skills across AI, biology, automation, and platform teams.
Skills
- Machine Learning
- AI for Science
- Computational Biology
- Probabilistic Modeling
- Agentic Systems
- Bayesian Modeling
- Probabilistic Programming
- Causal Inference
- Formal Methods for Reasoning Under Uncertainty
- Agentic Systems
- Active-Learning Systems
- Closed-Loop Systems
- Autonomous-Science Systems
- Single-cell Omics
- Perturbation Data
- Imaging
- Spatial Profiling
- Genetics
- Multi-omics
- Hypothesis Generation
- Hypothesis Testing
- Hypothesis Revision
- Philosophy of Science
- Epistemology
- Scientific Methodology
- Formal Argumentation
- PyTorch
- JAX
- TensorFlow
Experience Level
- Senior
Education Level
- PhD
Salary/Compensations
- $268,000—$336,000 USD
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Employer-paid life insurance
- Employer-paid disability insurance
- Flexible time off
- Generous company wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits
- Bike share memberships for office based employees
- Company subsidized lunch program
About the Company
- Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
- We believe science is the most inspiring frontier for AI.
- Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
- LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
- Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.
Equal Opportunity
- Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.