Senior Data Scientist II
Core
Design and deliver advanced AI, NLP, and generative AI solutions to power knowledge discovery and decision support for researchers and healthcare professionals.
Role type
Senior IC machine-learning engineer (scientific discovery & RAG)
Builds
LLM-powered workflows, retrieval-augmented generation (RAG) systems, intelligent retrieval, ranking, and recommendation capabilities
Domain
Scientific research, healthcare analytics, information retrieval
Deliverable
production ML models
Required skills
LLM fine-tuning, prompt engineering, RAG implementation, vector/hybrid search, Python, machine learning fundamentals, cloud platforms
Preferred skills
Experience with large-scale text datasets, experimentation and evaluation frameworks, mentoring
Technologies
Python, LLMs, RAG, vector search, cloud platforms
Responsibilities
Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific applications; Develop LLM-powered workflows and RAG systems for search, summarization, and evidence-grounded insights; Integrate scientific metadata, ontologies, and knowledge assets into scalable AI workflows; Establish robust evaluation, experimentation, and monitoring frameworks; Write production-ready Python code and partner with engineering teams to deploy solutions at scale; Provide technical leadership and mentoring to support high-quality delivery.
Seniority
Senior, hands-on IC with mentoring responsibilities
