Senior Data Scientist – LLM, Clinical NLP

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design and enhance pipelines utilizing LLM- and transformer-based models to extract structured data from clinical notes.

• Create solutions for named entity recognition, text classification, and relation extraction.

• Assess models with gold-standard datasets, perform error analysis, and utilize reliable metrics.

• Fine-tune, implement, and oversee models in a production environment.

• Collaborate with Medical and Product teams to convert clinical inquiries into data and model specifications.

• Effectively communicate results and trade-offs to both technical and non-technical audiences.

• Leverage language models on unstructured clinical text to produce research-grade healthcare data products.

⛳️ Requirements

• A Master's degree or PhD in a quantitative discipline such as computer science, machine learning, data science, biostatistics, or a related field.

• Approximately 5 years of practical experience in data science or machine learning, including deploying models in production on complex real-world datasets.

• Proficient in NLP with transformer encoders, including fine-tuning BERT/RoBERTa-family models and variants tailored for biomedical or clinical applications like BioBERT or ClinicalBERT.

• Experience with Hugging Face Transformers for named entity recognition, classification, or relation extraction.

• Practical experience with generative LLMs, including prompt design and structured outputs, LoRA/PEFT fine-tuning, RAG, and large-scale evaluation of LLM outputs.

• Strong skills in rigorous model evaluation, including gold sets, error analysis, and LLM-as-judge methodologies.

• Proficiency in Python and SQL.

• Familiarity with AI-native tools such as Claude and Cursor.

• Fluent in English with confidence in presenting to cross-functional and non-technical stakeholders.

• Preferred experience with EHR data or clinical notes, and familiarity with ICD, CPT, or RxNorm.

• Knowledge of PySpark and Databricks, including MLflow, is a plus.

• Experience in training, serving, and monitoring models on AWS, particularly with Amazon SageMaker, is advantageous.

• Familiarity with R or TypeScript is a plus.

• Experience with ophthalmology, urology, or oncology data is desirable.

• Exposure to medical imaging data is beneficial.

• Experience with real-world evidence studies or peer-reviewed publications is a plus.

🏝️ Benefits

• Fully covered licenses for tools like Cursor, Claude Pro, and others.

• A remote-first work environment providing complete autonomy.

• No unnecessary meetings, Jira clutter, or micromanagement.

• Opportunity to have a direct impact and collaborate closely with the CEO, CTO, VPs, and client leadership.

• Commitment to continuous growth and a strong culture of knowledge sharing.

• Work alongside top-tier engineers delivering systems that influence significant business decisions.