Senior Data Scientist, Agentic AI, Machine Learning

Responsibilities

• Act as a trusted technical partner to DMPK scientists, clinical pharmacologists, statisticians, clinicians, and research leaders
• Facilitate cross‑functional alignment and translate scientific and operational needs into clear AI/ML solution requirements
• Communicate clearly with both technical and non‑technical audiences, explaining capabilities, limitations, and trade‑offs
• Design, develop, benchmark and deploy AI agents to support PDMB and clinical workflows, including automated report generation, quality evaluation and consistency checks, process monitoring and deviation detection, scheduling, prioritization, and alerting systems
• Develop and apply machine learning and deep learning models for DMPK and clinical applications
• Define benchmarks and success metrics for AI agents and ML models, including scientific quality, operational efficiency, and user adoption
• Contribute to responsible AI practices, including transparency, reproducibility, governance, and compliance with GxP considerations
• Define and track value metrics such as time savings, cost avoidance, throughput improvements, and decision quality

• Master’s with 3 years of experience or Ph.D. in Data Science, Computer Science, Computational Chemistry, Bioinformatics, Applied Mathematics or a related quantitative field
• Hands‑on experience with large language models and agentic AI frameworks (fine‑tuning, prompt engineering, multi‑agent orchestration, tool use, and API‑based production orchestration) required
• Proven experience integrating and modeling multimodal datasets (omics, chemical, textual, imaging)
• Experience in model evaluation and benchmarking
• Strong software development skills in Python and familiarity with modern ML frameworks (e.g., PyTorch, Tensor Flow), MLOps tools, cloud platforms (AWS preferred), and HPC environments
• Experience driving consensus in cross‑functional teams spanning science, engineering, and operations
• Experience in stakeholder management and influencing without authority
• Excellent communication skills; ability to translate complex technical work to domain experts and leadership