Data Scientist (Pharma & Clinical AI)

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.

In this role as a Data Scientist, you will:

• 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 DevOps 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

Requirements:

• 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, LangChain, 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 Generative AI, NLP, Deep Learning, etc.
• Understanding of CS fundamentals, computational complexity, and algorithm design
• Ability to engineer and deploy well-architected software packages
• Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level
• Experience mentoring junior team members

Preferred Qualifications:

• Deep expertise in engineering agentic AI systems
• Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data
• Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage
• Ability to prototype PoC webapps with familiarity across the full stack
• Expert usage of AI coding tools and workflows