Healthcare Data Scientist

We are seeking a highly capable and versatile Data Scientist with expertise in SQL, Python, AWS, PostgreSQL, Natural Language Processing (NLP) and large language models (LLMs). You ll be at the forefront of building intelligent systems that interpret and analyze both structured and unstructured data, turning complex outputs into clear, actionable insights for business stakeholders.

This role is ideal for someone who thrives at the intersection of data science, engineering, and business strategy with the ability to translate business questions into scalable technical solutions. It is a great fit for someone who enjoys problem-solving under pressure, can adapt quickly to shifting priorities, and has the confidence to work with demanding clients and tight deadlines all while maintaining a calm, collaborative approach and a focus on quality.

Key Responsibilities:

• Design and execute complex SQL queries, views and functions for large-scale data analysis and reporting.
• Develop, fine-tune, and implement NLP and LLM-based solutions, such as document summarization, text classification and semantic search.
• Build robust data pipelines and AI/ML workflows using Python (Pandas, Scikit-learn, Transformers, etc.).
• Leverage AWS services (e.g., Lambda, SageMaker, S3, Glue) for model training, deployment, and data orchestration.
• Work with PostgreSQL to store, create views, create functions, query, and model structured data efficiently.
• Translate technical findings into actionable insights for business stakeholders in a clear, concise manner.
• Convert complex business needs into technical designs and machine learning applications, collaborating closely with product, engineering, and business teams.
• Monitor model performance, run A/B tests, and iterate on NLP and LLM models.
• Stay updated on the latest developments in NLP, generative AI, and machine learning.

Required Qualifications:

• 3+ years of experience in a data science, artificial intelligence, machine learning role.
• Advanced SQL proficiency, including performance tuning and complex joins.
• Strong Python coding skills, with hands-on experience in NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Demonstrated experience working with and integrating into LLMs (e.g., OpenAI GPT, Cohere, Claude) and prompt engineering.
• Experience developing and deploying NLP models for tasks such as named entity recognition, sentiment analysis, summarization, or question answering.
• Proficiency with AWS cloud services, especially SageMaker, Lambda, Glue, and S3.
• Strong working knowledge of PostgreSQL and relational databases.
• Proven ability to translate business goals into technical solutions and present results to non-technical audiences.

Preferred Qualifications:

• Master s in Computer Science, Data Science, Computational Linguistics, or a related field.
• Experience with MLOps and model lifecycle management.
• Familiarity with orchestration and pipeline tools (e.g., Airflow, MLflow).
• Experience integrating NLP and LLM models into production systems or customer-facing tools.
• Strong data visualization and storytelling skills using tools like Tableau, Power BI, or Plotly.