Forward Deployed Scientist

Embed our Pleiades models with early partners - test possible research outcomes and product hypotheses

Prima Mente’s goal is to build the best AI models for biology. We use them to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We generate our own data, build foundation models, and translate discoveries to real clinical and research impact.

• Embed with early design partners (research institutes, enterprise users, clinics, healthcare providers) to deeply understand their data, workflows, constraints, and business/clinical objectives for use-cases like cfDNA fragment analysis, epigenetic embedding, multi-omic integration, diagnostic reporting, patient-specific risk stratification.

• Translate real-world problems into concrete, deployable solutions using Pleiades. Including designing and building custom pipelines, data ingestion, model integration, and output handling tailored to each customer’s environment.

• Establish deployment “best practices”.

• Feed what you learn from deployments back into the R&D roadmap: help prioritize model improvements, new features, and research directions.

We don’t expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others.

• Collaborative, low-ego, team-oriented mindset — balancing scientific rigour with operational pragmatism.

• Excellent communication skills: able to articulate complex technical concepts to both technical and non-technical audiences (scientists, clinicians, operations, business stakeholders).

• Deep technical fluency: comfortable with data science / ML / computational biology end-to-end — ideally with strong bioinformatics / multi-omic / clinical-data experience.

• Strong programming / scripting skills (Python, R, or equivalent), able to build data-processing / ETL pipelines, and integrate ML models into production environments.

• Background in research-to-production transition: bridging academic research, large-scale ML, and deployable product.

• Familiarity with compliance and data governance (e.g. data anonymization, GDPR, audit-ability, provenance).

• 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.

• Experience building tools or frameworks for ML/AI workloads (data pipelines, infrastructure, modular/reusable code, CI/CD for ML, monitoring).

• Prior experience deploying ML/AI in regulated or high-stakes environments (clinical labs, healthcare, diagnostics, enterprise).

Based in San Francisco, US or London, UK. This role will travel frequently and become hybrid / on-site embed / customer-site embed as needed. We support visa applications.

What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous.

Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence.

We arrange our lives so we can work in person as much as possible.

• The solutions we build demand uncompromising quality and rigour.

• The problems we are solving are grave and present.

• We embrace curiosity and creativity.

• Every question is a path to a transformational breakthrough.

• We practice unwavering honesty and transparency in all our challenges and interactions.

• Every individual in our team is celebrated for their identity, uniqueness, and experiences.

• We are invested in each one’s bespoke personal development.

• Nurturing individuality will supercharge our collective purpose and spirit.

• We have a steadfast commitment to improve the health and well-being of patients globally.

• Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.