Senior Data Scientist

Senior Data Scientist

Company:
Norstella

Location:

Remote, United States

Date Posted:
Apr 22, 2026

Employment Type:

Full Time

Job : R-1915

At Norstella, our mission is simple: to help our clients bring life‑saving therapies to market quicker—and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best‑in‑class brands to help clients navigate the complexities at each step of the drug development life cycle —and get the right treatments to the right patients at the right time.

Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must‑have answers for critical strategic and commercial decision‑making. Together, via our market‑leading brands, we help our clients:

• Citeline – accelerate the drug development cycle
• Evaluate – bring the right drugs to market
• MMIT – identify barrier to patient access
• Panalgo – turn data into insight faster
• The Dedham Group – think strategically for specialty therapeutics

By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting‑edge data solutions and expert advisory services alongside advanced technologies such as real‑world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life‑saving therapies. Armed with cutting‑edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision‑making.

Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, large language models, and generative AI, combined with our domain knowledge, enables us to deliver comprehensive, production‑grade AI solutions that empower our clients to stay ahead in a rapidly evolving industry.

• Design and deploy production‑ready AI systems that leverage LLMs and advanced ML techniques to solve complex business problems across pharma intelligence
• Build and maintain multi‑agent systems and agentic orchestration workflows using frameworks like Lang Chain, Lang Graph, or Auto Gen to execute autonomous tasks
• Develop and optimise Retrieval‑Augmented Generation (RAG) pipelines, ensuring high‑fidelity context retrieval and vector database management
• Implement and extend MCP (Model Context Protocol) servers to allow LLMs to interact safely and efficiently with local and remote data sources
• Architect robust, scalable APIs and microservices to serve AI features to end‑users with low latency (FastAPI or similar)
• Collaborate with product partners and other scientists to identify new opportunities to apply AI/ML to our content and products
• Conduct research and identify AI/ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams
• Implement rigorous testing and evaluation frameworks for LLM outputs to ensure prompt stability, prevent regressions, and manage hallucination risks
• Contribute towards the common data science platform
• Stay up‑to‑date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
• All other duties, as assigned

• 5+ years of experience developing AI/ML applications and data‑driven solutions, preferably in regulated industries (pharma, legal, financial services, or energy)
• Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
• Substantial depth and breadth in NLP, Deep Learning, Generative AI, LLMs, and other state‑of‑the‑art AI/ML techniques
• Deep experience with LLM orchestration frameworks such as Lang Chain, Llama Index, or similar libraries
• Expert‑level knowledge of LLM APIs (OpenAI,…