Associate or Senior Editor, Nature Computational Science

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

About Springer Nature

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  and @Springer Nature.

About The Brand

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,  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  and follow @Nature Portfolio.

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.

About

The Role

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 responsibilities include:

Handling original research papers and working closely with editor teams on all aspects of the editorial process, including manuscript selection and overseeing peer review.
Making well-reasoned editorial decisions on submitted manuscripts in the light of expert advice.
Contributing to content and strategy in this area at Nature Computational Science and other Nature Portfolio journals as needed.
Commissioning, editing content such as Reviews, or writing editorials.
Liaising extensively with editors at other journals in the Nature Portfolio and with experts in the international scientific community.
Attending conferences and visiting research institutions.

To be considered for the position, you will have:

A PhD (or equivalent) in a field related to computational biology and bioinformatics.
Additional research experience valuable but not required.
A thorough understanding of recent trends and developments in…