2027 Future Talent Program - Computer Scientist - Agentic & Augmented Authoring Systems - Co-op

Role: Computer Science Co-op supporting Nonclinical Drug Safety (NDS) within a pharmaceutical R&D division, focusing on developing AI-driven pipelines for safety data retrieval and report automation. Responsibilities: design and implement agentic workflows, develop data extraction pipelines in Python, evaluate LLM outputs for accuracy, collaborate cross-functionally with scientific SMEs, and participate in agile sprints and code reviews. Requirements: pursuing a PhD in Computer Science, Data Science, AI, or related fields; strong Python skills; experience with NLP, LLM APIs, prompt engineering, and orchestration frameworks (e.g., LangChain, LlamaIndex); solid understanding of data structures and AI problem-solving; excellent communication. Preferred: experience with vector databases, OCR, cloud platforms (AWS/GCP), and UI development; familiarity with nonclinical safety reporting and regulatory context is advantageous. High-Value: focus on AI automation in nonclinical drug safety, leveraging NLP, LLMs, and orchestration technologies to streamline safety report authoring. Work setup: six-month co-op, flexible, with potential for full-time opportunities; remote/work hybrid options likely, specifics not detailed.