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Scientific Editor, Patterns (m/f/d)

Posted 5 Days Ago
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In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
The Scientific Editor will evaluate submissions, build networks for contributions, and collaborate on journal strategy to enhance impact.
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Position: Scientific Editor, Patterns

Company: Elsevier, The Cell Press journal Patterns

preferred Location: London or Oxford UK; Munich, Germany

About the Journal

The Cell Press journal Patterns is looking for a Scientific Editor to join us. Launched in 2020, Patterns (cell.com/patterns/) publishes impactful research across the full breadth of data science, including cutting edge technical advances, and insightful analysis and commentary. The journal is fully open access and dedicated to promoting open, reproducible science.

About the Role

The Scientific Editor will be closely involved in all editorial aspects of the journal. Candidates located in and with the right-to-work in the UK, Germany, USA, or China are encouraged to apply. While we can potentially offer flexibility in location, there would be advantages for candidates based in proximity to our offices in London or Oxford UK; Munich, Germany; Medford, USA; or Beijing, Shanghai or Shenzhen, China.

Responsibilities:

  • Rigorously evaluating submissions against Patterns' demanding requirements

  • Building global networks and commissioning world-leading submissions

  • Contributing to and implementing a journal strategy that ensures Patterns remains topical, distinctive, impactful and agenda-setting

  • Collaborating with Cell Press colleagues to broaden our footprint and ensure we continue to meet the needs of the research communities we serve

Requirements:

  • Have a Masters or PhD-level degree and published research in data science, machine learning, statistics, artificial intelligence or a related research area

  • Enthusiasm for and knowledge of open science and reproducible research

  • Have excellent communication skills and the ability to edit and improve scientific text

  • A willingness to learn and absorb new areas of research

  • Prior editorial experience is desirable but not essential

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

How to apply

Please apply via the link and submit your resume and a cover letter detailing your motivation for the role and explaining how your background and interests align with the role and the goals of our journal.

U.S. National Base Pay Range: $53,900 - $89,800. Geographic differentials may apply in some locations to better reflect local market rates.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Top Skills

Artificial Intelligence
Data Science
Machine Learning
Statistics

Elsevier London, England Office

125 London Wall, London, United Kingdom

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