Title: Associate or Senior Editor, Nature Computational Science
Organization: Nature Portfolio
Location: Shanghai, Beijing, Berlin or Pune - Hybrid Working Model
Closing date: March 20th, 2026
Springer Nature is one of the leading publishers of research in the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit about.springernature.com and @SpringerNature.
Nature Portfolio’s high-quality journals and services across the life, physical, chemical and applied sciences help move science and society forward.
Nature Portfolio is home to the leading, international weekly journal of science, Nature – founded in 1869. It is also home to the Nature research and Nature Reviews journals, the leading open access multidisciplinary journal Nature Communications, and open access journals including Scientific Reports. Together, these journals publish some of the world's most significant scientific discoveries.
Online, nature.com provides over nine million unique visitors per month with content, including news and comment from the Nature journal, and the leading scientific jobs board, Nature Careers. As part of Springer Nature, Nature Portfolio also offers a range of researcher services, including online and in-person training. For more information, please visit nature.com and follow @NaturePortfolio.
Nature Computational Science is an online-only, monthly journal that focuses on the development and use of computational techniques and mathematical models, as well as their application to address complex problems across a range of scientific disciplines. The main goal of the journal is to foster multidisciplinary research and the cross-disciplinary development and application of new computational techniques.
Do you love science but feel that a career at the bench isn’t enough to sate your desire to learn more about scientific research? Do you enjoy reading papers outside your chosen area of research? If the answer is ‘yes’ to any or all these questions, you could be the person we’re looking for to join the Nature Portfolio editorial team.
To help us build on the success of the portfolio, we’re seeking an editor with experience in computational biology, bioinformatics and systems biology (genome informatics and/or computational structural biology preferred) who has a critical eye, a deep understanding of their subject and beyond, and who can think on their feet.
This is a permanent position within the Nature Portfolio. The successful candidate will primarily support Nature Computational Science and may collaborate closely with other Nature Portfolio journals as needed. Please note that responsibilities and journal assignments may evolve over time in response to portfolio needs.
The successful candidates will report to the Chief Editor of the journal. This demanding and intellectually stimulating role is in either of our Shanghai, Beijing, New York or New Jersey locations. The position is offered on a permanent basis, and its starting date is envisaged as soon as possible.
At Springer Nature, our mission is to be part of progress – and that begins with inclusion: of people, perspectives, and ideas. We believe that diverse perspectives drive progress, and we are committed to creating an environment where people and ideas can flourish. If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here
For more information about career opportunities in Springer Nature please visit
#J-18808-LjbffrVeröffentlichungsdatum:
04 Mär 2026Standort:
WorkFromHomeTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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