Senior Data Scientist, Agentic AI and Machine Learning

Key Responsibilities Act as a trusted technical partner to DMPK scientists, clinical pharmacologists, statisticians, clinicians, and research leaders, facilitating cross‑functional alignment and translating scientific needs into AI/ML solution requirements. Design, develop, benchmark, and deploy AI agents to support PDMB and clinical workflows, including automated report generation, quality evaluation, deviation detection, scheduling, prioritization, and alerting systems. Integrate agents and ML methods into existing R&D platforms, laboratory systems, data lakes, and clinical data environments. Develop and apply machine learning and deep learning models for DMPK and clinical applications, building simulation and hybrid ML–mechanistic models, and ensuring proper validation, benchmarking, and uncertainty estimation. Define benchmarks and success metrics for AI agents and ML models, implementing ongoing monitoring for model drift, data quality, agent behavior, and downstream impact, and contributing to responsible AI practices. Define and track business‑impact metrics such as time savings, cost avoidance, throughput improvements, and decision quality, quantifying ROI and supporting prioritization of AI initiatives. Qualifications Master’s (with 3 years) 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, and proven experience integrating multimodal datasets (omics, chemical, textual, imaging). Experience in model evaluation, benchmarking, and software development in Python with modern ML frameworks (PyTorch, TensorFlow) and MLOps tools. Proficiency in scalable data and model deployment environments, cloud platforms (AWS preferred), and HPC environments. Strong stakeholder management and cross‑functional team collaboration skills. Excellent communication skills, with ability to translate complex technical work to domain experts and leadership. Preferred Experience and Skills Experience working in pharmaceutical or biotechnology R&D environments. Familiarity with PK/PD modeling, DMPK assays, and clinical pharmacology concepts. Exposure to GxP‑regulated environments and validation considerations for AI/ML systems. Experience deploying AI systems with human‑in‑the‑loop workflows. Technical Skills Strong foundation in machine learning algorithms, deep learning, supervised/unsupervised learning, and time‑series or sequence modeling. Experience with foundation models (large language models, multimodal models) and adaptation techniques. Practical experience with AI agent frameworks, orchestration, and tool integration. Proficiency in Python and modern ML/data science tooling, MLOps tools, cloud platforms, and HPC environments. Collaboration & Leadership Skills Demonstrated strength in stakeholder management and influencing without authority. Experience driving consensus in cross‑functional teams spanning science, engineering, and operations. Ability to independently lead initiatives from problem definition through deployment and impact measurement. Strong written and verbal communication skills. Location South San Francisco, CA; Boston, MA or West Point, PA (based on candidate preference). EEO Statement As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. Benefits Salary range: $129,000 – $203,100. Eligible for annual bonus and long‑term incentive, if applicable. Comprehensive benefits package includes medical, dental, vision, health‑care insurance (for employee and family), 401(k) retirement benefits, paid holidays, vacation, and compassionate and sick days. Application (Optional) Job posting end date: 06/10/2026. #J-18808-Ljbffr MSD Malaysia