Jobs at RELX

Handle editorial evaluation of submissions for scientific quality and significance; develop journal strategy; coordinate special issues; grow networks to attract submissions; identify and route manuscripts across Cell Press; represent and promote the journal at conferences; collaborate with sales, marketing, and production to meet growth targets.

Manage state notice filings for mutual funds and investment products: prepare renewals and amendments, respond to state correspondence, maintain fund files and BSS records, liaise with state examiners, ensure timely, complete electronic submissions, and support department policy updates.

Drive adoption and retention of Healthcare customers by qualifying opportunities, architecting solutions, aligning stakeholders, delivering sales pitches, and providing post-sales support. Partner with Sales and cross-functional teams to tailor LexisNexis healthcare solutions, run training/workshops, analyze market trends, and support client deployments. Travel up to 35%.

Lead and grow a data science team to design, prototype, and productionize NLP/LLM systems for legal content. Set AI strategy, build evaluation and monitoring, drive RAG/agentic solutions, collaborate cross-functionally, and ensure scalable, reliable deployment and responsible use of generative AI.

Edit, update, and manage nursing and clinical content to ensure accuracy and adherence to guidelines. Support scheduled and triggered review cycles, respond to basic clinical inquiries, collaborate with internal teams, manage projects and deadlines, and apply evidence-based research and adult-learning principles under the guidance of a Clinical Editor.

Senior individual-contributor responsible for owning and expanding strategic enterprise accounts by selling Nexis content, data, APIs, and AI-enabled solutions. Build executive relationships, create demand, develop account plans, displace competitors, lead complex negotiations, and coordinate cross-functional teams to drive multi-year revenue growth and enterprise adoption.

Support sales operations by delivering reporting, analytics, and process improvements. Maintain sales resources (Outlook lists, SharePoint, contract tools), ensure data integrity, support goaling, compensation, territory design, and collaborate cross-functionally to improve sales performance.

Review, edit, and audit AI-assisted legal opinions and caselaw to ensure accurate precedent analysis and history/treatment lettering. Verify source material, resolve complex editorial/legal questions, meet production targets, and recommend workflow improvements while applying Legal Editing Guidelines.

Review, edit, and audit AI-assisted legal opinions and caselaw content for accuracy. Identify legal issues, determine precedential impact, apply history/treatment lettering, verify source material, meet production targets, resolve complex editorial questions, and suggest guideline or workflow improvements.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, RAG, knowledge graphs) to support scientific discovery. Lead architecture, mentor data scientists, partner with engineering and product, and measure model quality, trustworthiness, and user impact.

Lead a team of engineers to design, build, deploy, and support scalable, secure publishing software. Provide hands-on technical leadership, mentor engineers, define architecture and delivery, drive engineering best practices, and collaborate with product and cross-functional stakeholders to deliver high-quality features.

Serve as a strategic, consultative Customer Success Manager for large law firm accounts, driving adoption of LexisNexis drafting, research, analytics, and AI workflows. Build trusted advisor relationships, create success plans, lead change management, use data to monitor health and identify growth or churn risks, and partner cross-functionally to improve products and retention.

Senior MLOps engineer to productionize NLP/GenAI models and RAG systems: build and automate ML pipelines, CI/CD, model registries, search/vector/graph-based retrieval, evaluation metrics and cost-optimized scalable infrastructure, collaborating with data scientists, product and operations teams.

Lead and develop data science teams to deliver AI/ML, NLP, search, retrieval, and generative AI products for scientific discovery. Set strategy, ensure model quality and responsible AI, partner with product and engineering, mentor staff, and drive measurable impact from research to production.