Search the 7 jobs at Elsevier

Leading strategy development for the A&G business overall and for the Academic Leaders & Funders segment. Partnering with management team, developing market understanding, leading strategic projects, translating strategies to execution, driving revenue growth, and implementing data-driven progress measures.

Lead the Content Protection division of Elsevier to identify and mitigate unauthorized activities affecting products. Collaborate with stakeholders, investigate unauthorized activities, analyze data, and deliver dashboards. Ensure operational response to content protection events.

Seeking a Senior Publishing Ethics Screening Analyst passionate about research integrity and publishing ethics. Responsibilities include pre-publication screening of manuscripts, assessing publishing ethics cases, and proposing improvements to workflows. Requires experience in scientific and medical publishing, knowledge of peer-review, excellent communication and analytical skills.

Experienced Software Engineer III needed to work on the development of the Researchfish platform. Responsibilities include developing front-ends in react.js, consuming APIs, collaborating with UX team, writing clean code, participating in code reviews, and guiding technical direction within the team.

The Editorial Section Manager at STM Journals will be responsible for guiding manuscripts through the publication process, performing technical checks, monitoring peer reviews, managing correspondence, and providing customer service. This role is ideal for university graduates interested in scientific publishing.

The VP Sales Global - Life Sciences role at Elsevier involves leading an international sales team to accelerate revenue from Life Science Solutions. Responsibilities include managing sales results, designing sales strategies, account planning, stakeholder management, and promoting customer-focused leadership. The role requires a depth of understanding in Life Sciences R&D and experience in sales within the industry.

Responsible for implementing ethical and trustworthy data-driven technology practices, developing training programs, and supporting AI policy across the business.