Senior Trainer - Data & AI

We are seeking a highly experienced Senior Trainer specializing in Data & AI with a track record in the Life Sciences and Healthcare sector. The ideal candidate is a recognized subject matter expert who combines deep technical mastery of modern data and AI platforms with authoritative knowledge of life science processes — spanning clinical development, pharmacovigilance, regulatory affairs, genomics, and drug discovery. You will lead enterprise-scale training programs, build world-class learning academies, and directly influence the data & AI capability of large pharmaceutical, biotech, and CRO organizations.

Responsibilities

Lead the design, development, and delivery of enterprise-grade Data & AI training programs for global life science clientsDefine and own the overall training strategy, learning architecture, and capability-building roadmap for Data & AI skills within life science organizations.Partner with C-suite, VP-level, and Head-of-Department stakeholders to align learning initiatives with organizational data transformation goals. Architect and deliver complex, multi-tiered curricula spanning Data Engineering, Machine Learning, Generative AI, NLP, and clinical analytics, contextualized for life science audiences. Own the full content lifecycle — from needs analysis and instructional design to development, review, localization, and versioning. Build role-based, modular learning paths for: Data Engineers, ML Engineers, Data Scientists, Clinical Data Managers, Bioinformaticians, Regulatory Affairs professionals, and Medical Affairs teams. Integrate cutting-edge AI topics — LLMs, Generative AI, RAG pipelines, AI agents, multimodal AI — into life science training with applied use cases such as drug discovery acceleration, clinical trial optimization, and regulatory document automation. Conduct comprehensive Training Needs Analyses (TNA) and skills gap assessments for pharmaceutical, biotech, and CRO client organizations. Manage end-to-end delivery of large-scale training engagements: project planning, resourcing, LMS configuration, participant communications, and executive reporting. Lead, mentor, and develop a team of junior and mid-level trainers; conduct train-the-trainer programs to scale delivery capacity globally. Define, track, and report training KPIs: completion rates, assessment scores, learner NPS/CSAT, skill proficiency uplift, and ROI of training investments.

Requirements

Hands-on experience in Life Sciences or Healthcare — pharma, biotech, CRO, medtech, or health IT — with strong domain credibility. Strong hands-on proficiency in Python and SQL; working knowledge of PySpark and distributed data processing. Practical experience with cloud data platforms. Hands-on experience with Databricks, Snowflake, Spark, and BI tools (Tableau, Power BI) — able to teach and demonstrate live. Applied knowledge of Machine Learning: supervised/unsupervised learning, NLP, computer vision, and time-series forecasting in life science contexts. Strong understanding of Generative AI, LLMs, RAG architectures, prompt engineering, and AI agents — with demonstrated ability to train others on these technologies. Experience designing and delivering technical training programs