Senior Scientist, Multimodal Biological Reasoning

Flagship Pioneering; Cambridge (MA); On-site; USD 136,000 - 264,000; Full time

Job summary

Flagship Pioneering is seeking a Senior Scientist to drive multi-modal, multi-scale biological reasoning research in Cambridge, MA. You will design architectures, train large models, and curate novel biological datasets to advance AI-enabled biology across Flagship’s portfolio.

You will translate complex biological questions into ML problems, collaborate across teams, and help shape the roadmap and data strategy for enterprise-scale biology projects.

Qualifications

• PhD in Computer Science, Machine Learning, Computational Biology, Systems Biology or related quantitative field (or Master’s with equivalent research experience).
• Strong machine learning and software engineering fundamentals.
• Experience handling and processing large scale biological datasets.
• Ability to work independently in an ambiguous environment, foster cross-team collaborations, and communicate externally.
• Demonstrated ability to work in cross-functional settings with scientists or biotech teams to bridge needs and technical implementation.

Responsibilities

• Design technical architecture, training strategies, and evaluations for a multi-modal, multi-scale biological reasoning model.
• Train and validate large-scale biological reasoning models.
• Development and curation of novel biological datasets. Construct new datasets and benchmarks to empirically evaluate biological validity and generalization.
• Translate biological questions into well-defined ML problems, build and scale training data pipelines and model benchmarks for downstream applications.
• Contribute to the technical and product roadmap, data strategy and research priorities.

Skills

Machine learning

Software engineering

Biological data

Cross-functional collaboration

Independent work

Education

PhD in Computer Science / ML / Computational Biology

Job description

Flagship Pioneering is seeking a Senior Scientist to drive multi-modal, multi-scale biological reasoning research in Cambridge, MA. You will design architectures, train large models, and curate novel biological datasets to advance AI-enabled biology across Flagship’s portfolio.

You will translate complex biological questions into ML problems, collaborate across teams, and help shape the roadmap and data strategy for enterprise-scale biology projects.