Jobs at Elsevier

Lead a data science team to deliver data-driven solutions in life sciences, applying machine learning, NLP, and AI methods. Oversee project management, stakeholder collaboration, and ensure high-quality standards in data science practices.

Collaborate with stakeholders to design, develop, and deploy cloud-hosted applications that enhance scientific research publication processes, while mentoring teammates and improving delivery practices.

The Senior Systems Engineer (AWS) will manage and enhance AWS environments, focusing on reliability, security, and performance while automating systems and collaborating with cross-functional teams.

As a Systems Engineer (AWS), you will maintain cloud-based environments, ensuring they are stable and secure while improving incident response and recovery. Responsibilities include monitoring system health, troubleshooting issues, and collaborating with engineering teams.

Assist in the evaluation of Generative AI products, ensuring quality and alignment with responsible AI principles while collaborating with cross-functional teams.

The role involves driving automation and CI/CD integration for enterprise platforms, ensuring scalability and compliance through Infrastructure-as-Code, and participating in recovery planning and system reliability initiatives.

The Senior Site Reliability Engineer will manage and optimize cloud infrastructure on AWS, design Kubernetes clusters, and automate workflows while mentoring junior members.

The Quality Test Engineer III is responsible for leading quality engineering practices, developing automated test solutions, defining test strategies, and mentoring team members to enhance product quality in a collaborative environment.

The Account Support Executive oversees deal lifecycle progress, manages client communications, ensures compliance, and coordinates with cross-functional teams to support strategic deals.

Design and build backend services, drive features independently, collaborate with teams, and mentor junior engineers while ensuring high-quality software delivery.

Lead and run the accessibility program for Clinical Solutions: assess compliance, own VPATs/ACRs, build remediation roadmaps, embed accessibility into product and content workflows, coordinate accessibility champions, triage issues, and report program metrics to leadership.

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.

Lead a team of four to deliver management reporting and financial analysis for multiple Elsevier business units (~$3B sales). Drive budgets, forecasts, sales monthly variance (LV), quota setting, and continuous improvement initiatives including automation and GenAI. Own the Oracle sales planning application and coordinate reporting/budgeting cycles with Business Decision Support and senior stakeholders.

Coordinate and execute sales deals across a territory, track new and renewal deals, manage procurement/invoicing and delinquencies, support contract review and redlining, maintain process documentation, and partner with Sales, Finance, Legal and customers to ensure timely, compliant deal delivery and improved operational processes.

Lead pre-sales technical engagement for Academic & Government customers in China: assess requirements, design cloud data and LLM-integrated solutions, run POCs/demos, ensure China regulatory compliance and integration with Elsevier products, and produce architecture documentation and technical inputs for proposals.

Design, build, and maintain scalable automated testing frameworks (Webdriver.io or Playwright) using JavaScript/TypeScript. Develop REST API, accessibility (WCAG), and performance/load tests. Implement BDD (Cucumber/Gherkin), integrate suites into CI/CD (Jenkins/GitHub Actions/BrowserStack), and collaborate cross-functionally in Agile to ensure reliable, maintainable test coverage and high-quality releases.

The role involves designing, building, and maintaining cloud infrastructure on AWS, managing Infrastructure as Code, optimizing CI/CD pipelines, and supporting applications throughout the SDLC. It also includes troubleshooting issues, enhancing observability, collaborating with teams for performance improvement, and contributing to automation initiatives.

Design, build, and maintain scalable batch and ELT/ETL data pipelines and services. Develop and operate Spark and Airflow workflows, apply software engineering practices, contribute to AWS-based systems, monitor and automate production, collaborate with product and data science teams, and mentor other engineers.

Lead product discovery and delivery for internal data platform capabilities. Gather feedback from engineers and data scientists, translate needs into requirements, prioritize backlog, partner with engineering to deliver scalable solutions, improve data access while balancing privacy and security, track adoption and outcomes, and support migration from legacy workflows.

Support end-to-end deal lifecycle for a sales territory, ensuring timely execution, compliance, and coordination across Sales, Finance, Legal, and Operations. Monitor renewals, invoicing, purchase orders, delinquencies, contract redlining, regional documentation, and process improvements while engaging customers on contested renewals and complex deals.