Data Scientist - Life Sciences/ AI

About the Role We are seeking an experienced Data Scientist to lead AI/ML initiatives spanning statistical modeling, classical and modern AI techniques, and LLM-based architectures. The ideal candidate can bridge technical depth with business communication, working independently with multiple stakeholders in the Life Sciences domain. Key Responsibilities • Design, build, and deploy AI models across statistical, machine learning, and deep learning frameworks. • Implement LLM-based applications including content summarization, generation, and retrieval-augmented generation (RAG) pipelines. • Develop agentic architectures using LangChain or similar frameworks. • Collaborate with Life Sciences / Pharma R&D stakeholders to solve data-driven problems. • Translate complex data science methodologies into clear business insights for non-technical and senior client audiences. • Manage deliverables across multiple projects independently, ensuring alignment with business goals. Qualifications • 4–5+ years of hands-on experience in Data Science. • Proficiency in classical AI, including statistical modeling, ML, deep learning, and optimization. • Experience working with LLMs and agentic AI frameworks (LangChain, DSPy, etc.). • Preferably experience in Life Sciences / Pharmaceutical R&D data or workflows. • Strong consulting and communication skills; able to present technical concepts to executives and non-technical stakeholders. • Proven ability to work independently and manage multiple priorities across cross-functional teams. Preferred Technical Stack • Python, PyTorch / TensorFlow, scikit-learn, HuggingFace, LangChain, SQL, Azure / AWS AI services, Git, and MLOps tools. Location:  Chicago, IL Boston, MA Princeton, NJ Atlanta, GA Philadelphia, PA New York City, NY Evanston, IL