Teams at Flagship Pioneering

Design and operate a biological research data platform connecting computational and experimental workflows. Build data models, APIs, pipelines, integrations, and cloud infrastructure that preserve sample lineage, metadata, provenance, and quality controls. Automate handling of laboratory records and heterogeneous files, enable querying and visualization, and collaborate closely with experimental scientists. The role also involves testing, validating transformations, managing AWS services, and potentially extending into laboratory automation and LLM applications.

Leads APEX strategy and operations by managing transaction pipeline visibility, operating cadence, project milestones, risks, resources, reporting, planning, and process improvement. Coordinates across executive leadership, business development, corporate development, legal, finance, IP, and portfolio companies. Develops playbooks, dashboards, meeting materials, onboarding programs, and strategic initiatives to improve execution of complex transactions.

Design, build, fine-tune, deploy, and monitor production machine learning systems focused on LLMs, RAG, agentic orchestration, and multimodal data. Own the full ML lifecycle, establish MLOps practices, guide architecture and technical standards, and collaborate with data engineering, product, scientists, and domain experts. Translate scientific and product requirements into reliable, scalable ML solutions while communicating technical tradeoffs to diverse stakeholders.