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Job Title: Associate or Senior Editor (environmental carbon cycle), Nature Communications

Location(s): Shanghai, Beijing, Nanjing, New York, Jersey City, Philadelphia, Washington DC, Milan, Madrid (Hybrid model)

Closing date: 8th June 2025. Candidates will be considered as they apply.

About Springer Nature Group

Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 180 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow. Visit http://group.springernature.com/ and follow @SpringerNature / @SpringerNatureGroup.

About The Brand

Nature Research is the world’s leader in publishing high-quality research from across the natural sciences. Its journals includeNature, the Nature Research journals, the Nature Reviews journals andNature Communications.

Nature Communicationsis the leading multidisciplinary Open Access journal, publishing high-quality scientific research. To help us to build on the success of this journal, we’re seeking a researcher with a background in (bio)geo- or atmospheric chemistry, with a particular interest in the global carbon cycle and related machine learning applications, who has a critical eye, a deep understanding of their subject and interests beyond, and who can think on their feet.

About The Role

The Associate/Senior Editor role atNature Communicationsis ideal for researchers who love science but feel that a career at the bench isn’t enough to sate your desire to learn more about the natural world and for those who enjoy reading papers outside their chosen area of research.

The responsibilities include:

• Handling original research papers, and working closely with other editors 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.
• Determining the representation of their subject in the journal.
• Liaising extensively with editors at other journals in the Nature family 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 environmental sciences/geosciences/biogeochemistry. We are particularly interested in candidates that have a strong expertise in global carbon cycle modelling and machine learning, including carbon interactions between the atmosphere, biosphere, soils, oceans, lakes and rivers.
• Some postdoctoral research experience is preferred but not essential. A thorough understanding of the fundamentals of the subject is essential.
• A passion for science and a thirst to learn more. You must be able to demonstrate the breadth of your interest in scientific research, both within and beyond your speciality and across the wider field of statistics and machine learning.
• Excellent communication and interpersonal skills and be fluent in English (written and spoken).
• The ability to read and assess the novelty, context and implications of research submitted to the journal from different areas of this discipline.
• Be eager to travel and meet scientists worldwide, learn more about them and their research, and help them learn more about us and what we are looking for in the papers we seek to publish.

This role can be in our Shanghai, Beijing, Nanjing, New York, Washington, Philadelphia, Jersey City, Madrid, or Milan (hybrid) office. The position is offered on a full-time, permanent basis. Editorial experience is not required, although applicants with significant editorial experience are encouraged to apply and will potentially be considered for Senior Editor positions.

Applicants should include a CV, a cover letter explaining their interest in the post and their preferred office of employment, and a separate concise (300-400 words) discussion ofrecent scientific developments in any area related to carbon cycle modelling and machine learning that they found particularly exciting, stating why.

US employees are eligible for benefits including, but not limited to, medical, dental, vision, short and long term disability, life and AD&D insurance, tuition assistance, employee assistance program, paid vacation and sick time, flexible spending accounts, and a 401k retirement savings plan.

In order to comply with various pay transparency laws and legislations in the United States, the salary range and benefits for this position are included. This information is only applicable to US-based candidates and the actual salary offer may vary based on work experience, education, skill level and equity. Salary ranges differ by country due to various local market considerations. The US salary range does not align with the salary ranges in other countries when converted to the currency of that country.

US Annualized Base Salary Range: Associate Editor: $80,000 / Senior Editor: $91,000.

Springer Nature is an Equal Opportunity Employer that complies with the laws and regulations set forth in the following poster: https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088_EEOC_KnowYourRights.pdf

At Springer Nature, we value the diversity of our teams and work to build an inclusive culture, where people are treated fairly and can bring their differences to work and thrive. We empower our colleagues and value their diverse perspectives as we strive to attract, nurture and develop the very best talent.

Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work HERE.

If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation.

For more information about career opportunities in Springer Nature please visit our career page HERE.

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