AI Data Scientist

We're working with a fast-growing, VC-backed healthtech startup on a mission to build a platform that blends human insight with advanced AI for personalised, continuous care. As part of this growth, they’re looking for an AI Data Scientist to work within a distributed team, on a hybrid model.Your ImpactAs one of their earliest AI hires, you'll shape the backend foundation powering secure data flows, AI-driven insights, and provider tools. Expect hands-on ownership in a collaborative, mission-focused team tackling real-world health challenges.Key ResponsibilitiesDesign and execute experiments using large datasets, including LLM-generated or LLM-augmented dataAnalyze and validate the reliability, consistency, and bias of LLM outputs across healthcare use casesFine-tune and evaluate LLMs (e.g., OpenAI, Claude, Llama) while managing risks like overfitting and hallucinationBuild scalable pipelines to preprocess, structure, and extract insights from unstructured or semi-structured dataWork closely with clinicians and product teams to align AI insights with real-world healthcare needsDevelop metrics and evaluation strategies for model performance, safety, and explainabilityInvestigate and mitigate risks related to synthetic data and model-induced artifactsHelp shape how healthcare AI tech can be safe, fast, and deeply humanWhat You'll Bring5+ years of experience in data science or machine learning, including work with LLMs or large generative modelsDeep understanding of LLM internals-tokenization, attention mechanisms, fine-tuning, prompt engineering, embeddingsStrong Python skills, including libraries like PyTorch, HuggingFace Transformers, LangChain, or similarHands-on experience fine-tuning models or building applications with LLM-generated dataStrong statistical and experimental design skills, especially around model evaluation and failure analysisFamiliarity with cloud-based ML pipelines (e.g., AWS/GCP/Azure), versioned datasets, and reproducible experimentationExperience navigating data quality issues-bias, hallucination, inconsistencyFor further details and immediate consideration, please get in touch.

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