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.

• 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

• 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

• 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

• 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

• 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

• Strong experience working with:
• Agentic AI frameworks
• Retrieval-Augmented Generation (RAG)
• Hands‑on experience with frameworks such as:
• Lang Chain
• Auto Gen
• CrewAI
• Similar agent orchestration platforms

• Experience building:
• Knowledge retrieval systems
• Vector database solutions
• Embedding and search pipelines
• Strong understanding of machine learning and AI system design

• 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

• 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

• Experience with in 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