* Design and implement state-of-the-art agentic AI systems for drug discovery, clinical development, and R&D operations* Develop multi-agent architectures incorporating perception, memory, planning, reasoning, and tool-use modules* Build and evaluate autonomous AI workflows for scientific data analysis, hypothesis generation, and decision support* Translate real-world biomedical and clinical research problems into AI-driven solutions in partnership with R&D scientists* Conduct research on novel agentic AI algorithms, architectures, and evaluation frameworks* Implement scalable, production-ready AI pipelines with robust monitoring, logging, and governance* Ensure AI systems comply with regulatory, quality, and responsible AI principles in pharmaceutical environments* Contribute to scientific publications, patents, and internal technical knowledge sharing* Collaborate with cross-functional teams including digital product owners, clinical scientists, and platform engineers* Mentor junior scientists and contribute to a culture of scientific excellence and continuous learning* Ph.D. or M.S. in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, Computational Biology, or related field* 1+ years of experience building AI/ML models and systems in research or production environments* Deep expertise in large language models, transformers, and modern deep learning architectures* Strong Python programming skills and experience with ML frameworks (PyTorch, TensorFlow, JAX)* Hands-on experience with agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar)* Experience designing agentic components such as memory systems, planning engines, reasoning modules, and tool-calling pipelines* Familiarity with distributed systems, cloud platforms (AWS, Azure, GCP), and MLOps tools (MLflow, W&B, CI/CD)* Strong analytical and problem-solving skills, especially in complex scientific or healthcare data contexts* Excellent communication skills and ability to explain technical concepts to multidisciplinary stakeholders* Proven track record of publications in top-tier AI/ML or healthcare informatics conferences* Experience applying AI to drug discovery, genomics, imaging, clinical trials, or real-world evidence* Experience with vector databases, retrieval-augmented generation (RAG), and knowledge graphs* Familiarity with regulatory and compliance considerations in healthcare AI* Experience working in cross-functional, global R&D organizations* Active GitHub profile with open-source contributions, reproducible research code, or production-grade AI/ML systems* Meaningful Impact: Opportunity to improve millions of lives through breakthrough AI innovations* World-Class Environment: Collaborate with leading scientists, researchers, and healthcare experts* Cutting-Edge Resources: Access to state-of-the-art computing infrastructure and healthcare datasets* Professional Growth: Support for conferences, publications, and continuous learning opportunities* Comprehensive Benefits: Competitive compensation, health benefits, retirement plans, and wellness programs* Work-Life Integration: Flexible work arrangements and commitment to employee wellbeing* Global Community: Join a diverse, inclusive culture spanning 100+ countries* Sustainability Focus: Contribute to our commitment to environmental and social responsibility* Bring the miracles of science to life alongside a supportive, future-focused team.* Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.* Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.* Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)OR (US) .#J-18808-Ljbffr