Jobs at Elsevier

Manage and grow strategic clinical accounts by building relationships, identifying upsell opportunities, meeting revenue targets, coordinating cross-functional teams, and delivering clinical solutions and value to customers.

Manage a portfolio of healthcare clients to drive renewals, adoption, and expansion of Elsevier Clinical Solutions. Build stakeholder relationships, identify upsell opportunities, negotiate contracts, forecast pipeline in Salesforce, and collaborate with sales and customer success to minimize churn and grow account revenue.

Lead enablement, tooling, and operational excellence for Clinical Solutions product management. Build training, playbooks, and governance for roadmap tools; track PM health metrics; coordinate leadership forums; drive cross‑functional alignment and continuous improvement of processes and tooling.

Lead a team in Government Sales, manage capture processes, develop strategic account plans, and ensure alignment of solutions with client goals.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, and generative AI) to support scientific discovery. Develop RAG systems, semantic search, summarization, QA, ranking, recommendation, and evaluation frameworks. Integrate knowledge graphs and domain metadata, partner with engineering and product teams, lead technical decisions, and mentor data scientists.

Design, develop, and deploy ML, NLP, and generative-AI solutions (including LLMs and RAG) to improve search, retrieval, recommendation, and question-answering across scientific publications and datasets. Build scalable pipelines, evaluation frameworks, and production-quality Python code while collaborating with engineering, product, UX, and domain experts to measure and improve model reliability, relevance, and user impact.

Lead and develop high-performing data science teams to build AI-powered search, retrieval, NLP, generative AI, and knowledge systems for scientific discovery. Define strategy, drive production deployments, establish evaluation and responsible AI practices, partner with product and engineering, mentor staff, and influence senior stakeholders to deliver measurable impact.