Research Engineer
Core
Research Engineer executes research projects for agentic AI software automating bioanalysis workflows, turning product feedback into shipped results by formulating problems, designing experiments, and interpreting results.
Role type
Research Engineer (Agentic AI & Bioanalysis)
Builds
Agentic AI systems for bioanalysis workflows, evaluation infrastructure, and research agent stacks
Domain
Life Sciences (Bioanalysis) + Artificial Intelligence (Agentic Systems)
Deliverable
production ML models
Required skills
LLM-powered system development, agent architectures, evaluation and benchmarking, model training and fine-tuning, Python engineering, experimental design and rigor, data pipeline construction
Preferred skills
Life-science domain knowledge, post-training experience on LLMs, peer-reviewed publications, open source contributions
Technologies
Python, LLMs, agent systems, evaluation harnesses
Responsibilities
Scoping and implementing research projects, defining system performance metrics, building evaluation infrastructure, developing research agent stack components, fine-tuning open models, building reproducible training and evaluation data pipelines, tracking frontier lab developments
Seniority
Mid-Senior, hands-on IC
