(Senior) Scientist, Multimodal Biological Reasoning
Core
Designing and training multi-modal, multi-scale biological reasoning engines that unify human scientific expertise, machine intelligence, and nature's biological signals to solve unconventional life sciences problems.
Role type
Senior IC machine-learning scientist (biological reasoning)
Builds
Best-in-class biological reasoning engines for discovery of new biology and engineering of biological solutions
Domain
AI for Science / Computational Biology / Life Sciences
Deliverable
production ML models
Required skills
machine learning fundamentals, software engineering, large-scale biological dataset processing, model architecture design, training strategy design, data pipeline construction, benchmark creation
Preferred skills
foundation model pre-training/fine-tuning, multi-modal machine learning (non-text), causal reasoning, distributed training infrastructure, enterprise-scale AI/ML deployment
Technologies
LLMs, VLMs, ESM, Evo2, Carbon, Nucleotide Transformer, UCE, CellFM, TranscriptFormer
Responsibilities
Design technical architecture, training strategies, and evaluations for multi-modal biological reasoning models; Train and validate large-scale biological reasoning models; Develop and curate novel biological datasets and benchmarks; Translate biological questions into ML problems and build data pipelines; Contribute to technical roadmap, data strategy, and research priorities
Seniority
Senior, hands-on IC