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Forward Deployed Lead

Prima MenteSan Francisco, California , United States - Hybrid1w ago
In OfficeStaffNADiagnosticsArtificial IntelligenceTeam LeadPythonData GovernanceReporting

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Requirements

• We don’t expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. • 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). • Expected Growth • Expected Growth • Month One • Month One • Identify target users and their biggest value areas • Define deployment roadmaps and MVP pathways to support pre-sales • Understand Pleiades capacity, potential and opportunities • Develop key relationships with engineering, product and commercial teams • Month Three • Month Three • Agree on and build validation criteria. • Whiteboard and prototype ideas with synthetic data in conjunction with with product and engineering teams • Building evals and features with user input and labeling, helping client teams to adopt and maximise value from the deployment • Optimise the model to perform better on previously-defined quality checks • Act as onsite deployment owner for the first deployment, ensuring learning is captured for future deployments • Month Six • Month Six • Ongoing deployment is fully managed. • Roadmap of learnings and development of SOP for future deployments is part of our knowledge base • Customer feedback scores support bids for future deployments • Feedback from case studies has been implemented to improve our internal models • Location • Location • Based onsite in San Francisco, US or London, UK. This role will travel frequently and become hybrid/on-site embed / customer-site embed as needed. • Culture Insight • Culture Insight • Prima Mente is a place where great people get to tackle great challenges together. We’re innately curious, fundamentally hands-on and passionate about excellence. • Together we are building an environment where outstanding communication, scientific rigour and creative innovation come together to effect impact at pace. • Come build the world's frontier AI biology lab with us. • We arrange our lives so we can work in person as much as possible.

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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