Forward Deployed Lead

Prima MenteSan Francisco, CA
1dHybrid

About The Position

Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role Focus: As our first Forward Deployed Scientist, embed our flagship model Pleiades with early partners - testing possible research outcomes and product hypotheses and lead the build out of our FDS model.

Requirements

  • Deep customer fluency and empathy: able to explain a complex system to a non-technical executive and understand their business problem. You translate business needs into technical specs.
  • Deep technical fluency: strong programming / scripting skills (Python, or equivalent), able to build bioinformatics pipelines, fine tune and integrate ML models into production environments.
  • Experience building tools or frameworks for ML/AI workloads (data pipelines, infrastructure, modular/reusable code, CI/CD for ML, monitoring).
  • Bias for moving fast, iteration and scope adjustment to the most useful thing we can do, given constraints
  • Comfort with ambiguity and early-stage work: able to navigate messy, incomplete data; iterate quickly; improvise tools; and own the entire deployment stack end-to-end.
  • Prior experience deploying ML/AI in regulated or high-stakes environments (clinical labs, healthcare, diagnostics, enterprise).
  • Familiarity with compliance and data governance (e.g. data anonymization, GDPR, audit-ability, provenance).

Responsibilities

  • Design, lead and own our Forward Deployment function
  • Directly manage our end-to-end customer implementation strategy and execution
  • Embed with early design partners (research institutes, enterprise users, clinics, healthcare providers) to deeply understand their use-cases for cfDNA fragment analysis, epigenetic embedding, multi-omic integration, diagnostic reporting, patient-specific risk stratification.
  • Translate real-world problems into concrete, deployable solutions. Including designing and building custom pipelines, data ingestion, model integration, and output handling tailored to each customer’s environment.
  • Act as the primary technical owner. Build trust and guide the customer's own teams.
  • Establish deployment “best practices”, find reusable patterns.
  • Feed what you learn from deployments back into the R&D roadmap: help prioritize model improvements, new features, and research directions.
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