Who we're looking for

• 3+ years applying NLP or data-science to clinical (or similarly complex) text.
• Proven ability to take a project from EDA → model design → evaluation → production code in Python (SQL, Pandas, modern ML/NLP libraries).
• Hands-on experience training transformer models and building RAG or agent-based LLM pipelines.
• Familiar with EHR formats and healthcare ontologies (ICD-10, CPT, LOINC, SNOMED).
• Track record operating production-grade ML systems with monitoring and uptime targets.

Bonus points

• Peer-reviewed publications or open-source contributions in clinical NLP.
• Experience with reinforcement-learning methods such as GRPO (or similar policy-optimisation techniques) for model refinement.
• Experience in customer-facing roles communicating data science requirements and gathering specs from end users.

Benefits

• Top-of-market compensation (salary + equity)
• Flexible PTO & hybrid culture (SoHo HQ 3 days/wk; exceptional remote considered)
• Mission-driven, collaborative team
• Twice-yearly offsites to align, build, and celebrate.

Hiring Process

1. Initial application .
2. Intro call : Discuss your background, career goals, and our mission.
3. 2 x Technical interviews : A programming or system design exercise focused on real-world data challenges.
4. Referees: We ask for 2 referees who can speak to your professional/technical work
5. Culture interview : Ways of working, and a chance to ask questions
6. Offer