Senior Data Scientist

Senior Data Scientist

Company:
Norstella

Location:

Remote, United States

Date Posted:
Apr 21, 2026

Employment Type:

Full Time

Job : R-1922

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, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development.

• Collaborate with product partners and others 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
• Implement rigorous testing and evaluation of potential solutions; review indicative results and proof‑of‑concepts with multi‑disciplinary teams as part of customer‑led product development
• Deploy your solutions as production‑grade microservices in collaboration with engineering and Dev Ops teams
• Contribute towards common data science platforms and data assets
• 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

As a senior‑level scientist, you will primarily be responsible for one major release at a time with a high degree of individual ownership. While not all research leads to successful deployed systems, past successes have seen a general availability launch typically ~6 months from project start. Our solutions have used a wide range of approaches, including: agentic systems and model context protocol (MCP) servers, retrieval‑augmented generation (RAG), classical machine learning, knowledge graphs, and simply well‑designed data transformations and business logic — our focus is on solving problems rather than the technology used.

• Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience
• 5 years of experience developing AI / ML applications and data‑driven solutions
• Excellent knowledge of Python and core data science libraries such as pandas, scikit‑learn, Lang Chain, etc.
• Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval‑augmented generation
• Substantial depth and breadth across state‑of‑the‑art AI / ML techniques such as…