Senior Research Scientist

Type: Full Time Our Client is Looking an innovative Senior Research Scientist – Agentic AI for Drug Discovery to develop next-generation AI systems that transform scientific research and accelerate drug discovery. This role sits within a cutting-edge AI/ML organization focused on building autonomous AI agents capable of reasoning, planning, and executing complex scientific workflows across research and development. Key Responsibilities Agentic AI Development Design and develop advanced agentic AI systems that support critical drug discovery activities Build autonomous agents capable of reasoning, planning, executing tasks, and iterating based on outcomes Transform complex scientific workflows into scalable agent-driven solutions Scientific Workflow Automation Develop AI solutions supporting: Target identification and validation Literature search and knowledge synthesis Hypothesis generation Experimental design and optimization Scientific data analysis Enable researchers to automate repetitive and knowledge-intensive tasks Build applications leveraging large language models (LLMs) for scientific reasoning and decision support Develop Retrieval-Augmented Generation (RAG) architectures integrating scientific literature, databases, and experimental data Enhance AI agents with advanced retrieval, summarization, and evidence-based reasoning capabilities Agent Framework & Tool Development Design and implement new agent capabilities, including: Scientific tools and APIs Property prediction models Assay planning tools Data analysis functions Expand AI agent functionality across specialized scientific domains Cross-Functional Collaboration Partner closely with scientists, researchers, and technical teams to understand workflow requirements Validate AI outputs and ensure scientific rigor and practical usefulness Iterate on agent design based on user feedback and emerging business needs Innovation & Thought Leadership Stay current with advancements in: Agentic AI Generative AI Scientific automation Contribute to publications, presentations, and internal knowledge-sharing initiatives Drive innovation in AI-enabled scientific research What We’re Looking For Technical Expertise Strong experience working with: Agentic AI frameworks Retrieval-Augmented Generation (RAG) Hands‑on experience with frameworks such as: LangChain AutoGen CrewAI Similar agent orchestration platforms AI & Data Science Capabilities Experience building: Knowledge retrieval systems Vector database solutions Embedding and search pipelines Strong understanding of machine learning and AI system design Scientific Domain Knowledge Understanding of pharmaceutical research and drug discovery workflows Ability to translate scientific problems into computational solutions Familiarity with scientific datasets, literature, and research methodologies Strong communication skills and ability to collaborate with multidisciplinary teams Proven problem‑solving abilities and innovative thinking Passion for applying AI to solve complex scientific challenges Qualifications Required PhD in a scientific, computational, or quantitative discipline with 2+ years of relevant experience; OR Master’s degree with 8+ years of relevant experience; OR Bachelor’s degree with 10+ years of relevant experience Experience with Large Language Models and complex reasoning applications Proficiency in Python programming Experience with agent-based AI frameworks and RAG systems Understanding of scientific research and drug discovery processes Preferred Experience within pharmaceutical, biotechnology, or life sciences organizations Background in biology, chemistry, or disease biology Experience with reinforcement learning or AI planning algorithms Familiarity with scientific databases and research platforms Experience deploying AI solutions into production environments Publications or conference presentations related to AI, machine learning, or scientific research #J-18808-Ljbffr SoTalent