Clinical Data Scientist - Remote

Overview

You will join a tight-knit AI team as a hands-on data scientist and resident expert in clinical text, shipping ML systems into production and pushing forward state of the art.

In Short

• Prototype end-to-end text pipelines - clean and normalise raw EHR notes, choose an architecture, train, and evaluate - at the pace of days not months.
• Train transformer models - fine-tune large language models for coding, summarisation, and clinical reasoning, then keep them fresh with continuous-learning loops.
• Implement LLM workflows - build retrieval-augmented generation (RAG) and lightweight multi-agent chains that output clear, reference-backed answers.
• Explore new datasets - run exploratory data analysis, map content to ICD-10, CPT and flag data gaps before modelling.
• Productionise your work - convert research prototypes into reliable services with CI/CD, monitoring, and rollback.

Requirements

• 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.

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.