Jobs at Elsevier

Design and build ML, NLP, and generative AI systems for scientific discovery and knowledge extraction. Work with large heterogeneous scientific datasets to develop semantic search, entity extraction, QA, summarization, embeddings, and production-ready models. Implement model evaluation, fine-tuning, deployment, monitoring, drift detection, and scalable data pipelines while collaborating across engineering, product, UX, and research teams.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

Drive new commercial opportunities for Reaxys by generating leads, engaging prospects, and supporting deal progression. Represent the product at industry events, share market insights and identify whitespace, and collaborate with sales, product, and marketing to shape GTM initiatives and proposals.

Define and lead AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI. Lead and develop teams to deliver production-ready AI systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI frameworks, and influence cross-functional stakeholders to align roadmaps and drive measurable product and business outcomes.

Lead content partnership marketing for LeapSpace by developing value propositions, messaging frameworks, co-marketing programs, partner approvals, promotional campaigns, and sales enablement assets. Collaborate with Product, Legal, Communications, Sales, partner stakeholders, and regional marketing teams to ensure consistent, compliant, customer-focused positioning. Manage partner relationships, global initiatives, announcements, events, webinars, collateral, training materials, and post-launch go-to-market priorities in a matrixed AI and research technology environment.

Reviews manuscripts for research integrity and publishing ethics concerns, investigates potential issues, distinguishes valid concerns from false positives, and manages ethics cases. Communicates findings to editorial stakeholders, mentors colleagues, identifies emerging risks, and leads process, workflow, policy, and detection improvements across scholarly publishing operations.

Embed security into software delivery by partnering with engineering teams to improve CI/CD pipeline security, triage and remediate findings, perform threat modeling, design secure-by-default patterns, build reusable templates and automation, support compliance and audit evidence, and communicate security standards and best practices.

Lead the Learning & Performance team to design and implement a global sales and customer success curriculum, ensuring alignment with business strategies and measurable performance outcomes.

Lead and scale a global sales enablement function: design onboarding and continuous learning, create playbooks and content, own enablement tech and analytics, embed sales methodology (MEDDPICC), develop front-line manager programs, partner cross-functionally, and directly lead and deliver high-impact enablement initiatives to improve ramp, win rates, and quota attainment.