Oversee JoVE Journal’s end-to-end manuscript review process, manage and mentor Review Editors, monitor publishing metrics, improve workflows, strengthen reviewer engagement, and collaborate with Editorial, Production, and Content teams. The role also involves implementing automation and AI tools to improve review efficiency and quality while ensuring timely editorial decisions and a strong author experience.
JoVE is the world-leading producer and provider of science video solutions with the mission to improve scientific research and education. Millions of scientists, educators and students use JoVE for their research, teaching and learning. Our institutional clients comprise over 1,000 universities, colleges, and biopharma companies, including such leaders as Harvard, MIT, Yale, and Stanford. As a rapidly growing company, with offices in the USA, UK, Australia, and India servicing clients in over 60 countries, we are seeking talented and ambitious individuals to join our company.
The Role
JoVE is seeking a highly motivated and experienced Assistant Review Manager to lead and optimize the review process for the JoVE Journal. The Assistant Review Manager will oversee review operations, manage a team of editors, and drive continuous improvements in workflow, reviewer engagement, and author experience.
Responsibilities
- Oversee the end-to-end review process from manuscript submission to final editorial decision.
- Manage and mentor a team of Review Editors, fostering a high-performance, collaborative culture.
- Provide training, feedback, and performance tracking to ensure team success and publication growth.
- Monitor key performance metrics (e.g., time to first decision, reviewer turnaround, acceptance rates).
- Identify bottlenecks and implement process improvements, automation, and best practices to enhance efficiency.
- Develop strategies to improve reviewer engagement, retention, and turnaround times.
- Work closely with Editorial, Production, and Content teams to ensure a seamless publication process.
- Explore and implement AI and automation tools to enhance review efficiency and quality.
Requirements
- A Ph.D. or Master’s in Life Science.
- 5+ years of experience in academic/scientific publishing, with deep expertise in review workflows.
- Proven experience managing review teams and meeting publishing deadlines.
- Strong understanding of review models (single-blind, double-blind, open) and open access publishing.
- Hands-on experience with manuscript management systems (Editorial Manager preferred).
- Excellent analytical, problem-solving, and organizational skills.
- Strong communication skills with the ability to synthesize complex scientific feedback.
- Self-driven, detail-oriented, and able to thrive in a fast-paced, global environment.
Benefits
- A competitive compensation package.
- You will make a direct impact in accelerating science research and in improving student learning in science education.
- Opportunity to work with global teams and in an environment that promotes innovation and collaboration.
- Our strong promotion from within culture draws a clear path to advance your career with us.
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop scalable platforms and services for Mastercard’s Priceless platform. Responsibilities include hands-on software development, code reviews, collaboration with product and design teams, automated testing, CI/CD, cloud-native development, DevOps, stakeholder communication, and maintaining quality, reliability, security, and system performance.
Top Skills:
APIsAutomated TestingAWSC#Ci/CdDevOpsDistributed SystemsEvent-Driven ArchitectureGoGCPJavaMicroservicesAzurePHPPythonReactive SystemsTypescript
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Supports cloud, application, infrastructure, container, and Kubernetes security engineering. Contributes to multi-cloud controls, IAM policies, policy-as-code guardrails, vulnerability triage, compliance evidence gathering, security automation, and secure AI system monitoring. The role also involves scripting, documentation, root-cause analysis, and collaboration with Engineering, IT, Compliance, and senior security engineers.
Top Skills:
AWSAzureBashCi/CdContainer SecurityFedrampGCPIamInfrastructure As CodeIso 27001JavaScriptKubernetesNetwork AclsOrganizations/ScpsPci-DssPolicy As CodePythonSecurity GroupsSoc 2VpcVulnerability Scanning
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead security engineering efforts across multi-cloud environments by designing cloud security controls, policy-as-code guardrails, container protections, and automated remediation. Own vulnerability management and incident escalation, conduct forensics and root-cause analysis, translate compliance requirements into technical controls, and automate evidence collection. Mentor engineers, oversee threat modeling and architecture reviews, maintain security documentation, and participate in on-call operations.
Top Skills:
AWSAws ConfigAws OrganizationsAzureCi/CdDastEdrGCPGitGoGuarddutyIamKmsKubernetesPolicy-As-CodePythonQualysSastScaSecurity HubService Control PoliciesSIEMSoarTenableTerraformVpcWiz
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
