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Remote Science Journal Editor Jobs in Boston, MA

Associate Scientist, Image Analysis

Needham, MA ยท On-site +1

$47K - $68K/yr

Other duties may include guided internal development tasks, editing or creation of SOPs, and ... Fluent This role is remote. Candidates located in the following states: AZ, CT, DE, FL, GA, IL, MA ...

Works with medical professionals to ensure alignment with journal requirements for targeted ... Bachelors Degree in a relevant scientific discipline, or equivalent combination of education and ...

Works with medical professionals to ensure alignment with journal requirements for targeted ... Bachelors Degree in a relevant scientific discipline, or equivalent combination of education and ...

... Scientific Communications group. Remote candidates are an option. Local candidate to Mansfield, MA preferred. Essential functions: * This role predominantly focuses on writing, editing and reviewing ...

Business Development Manager

Boston, MA ยท On-site +1

$145K - $175K/yr

We bring together deep scientific expertise, an unwavering commitment to quality, and a ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

... to journal/conference publications, contribute to extramural funding applications, and project ... sciences, medical imaging, remote sensing, computer vision, mental health, data fusion ...

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Remote Science Journal Editor information

See Boston, MA salary details

$12

$34

$62

How much do remote science journal editor jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote science journal editor in Boston, MA is $34.33, according to ZipRecruiter salary data. Most workers in this role earn between $23.22 and $43.08 per hour, depending on experience, location, and employer.

How do Remote Science Journal Editors typically collaborate with authors and peer reviewers to ensure the quality of published articles?

Remote Science Journal Editors often work closely with authors and peer reviewers via email, online submission platforms, and virtual meetings. They facilitate communication by providing clear editorial feedback, coordinating revisions, and addressing questions or concerns throughout the review process. Editors also ensure that peer reviewers' comments are constructive and that authors' revisions meet the journal's standards. This collaborative process helps maintain the integrity and scientific rigor of published work, even while working remotely.

What is the difference between Remote Science Journal Editor vs Remote Scientific Writer?

AspectRemote Science Journal EditorRemote Scientific Writer
Required credentialsAdvanced degree in science or related field, editing experienceDegree in science, writing skills, subject expertise
Work environmentAcademic or publishing companies, remoteResearch organizations, publishing, freelance, remote
Employer usageAcademic journals, scientific publishersResearch institutions, publishers, freelance clients
Common search intentEditing, peer review, publication processWriting, research summaries, content creation

The Remote Science Journal Editor primarily focuses on reviewing, editing, and preparing scientific articles for publication, requiring strong editing skills and scientific credentials. In contrast, the Remote Scientific Writer creates original scientific content, research summaries, or articles, emphasizing writing expertise and subject knowledge. Both roles often operate remotely and serve the scientific publishing industry, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Science Journal Editor, and why are they important?

To excel as a Remote Science Journal Editor, you generally need an advanced degree in a scientific field, strong editorial judgment, and experience with scholarly publishing. Familiarity with manuscript submission systems, citation management software, and editing tools like Microsoft Word or LaTeX is typically required. Exceptional attention to detail, strong communication skills, and the ability to manage deadlines set standout editors apart. These competencies are crucial for ensuring the integrity, clarity, and timely publication of scientific research.

What are remote science journal editors?

Remote science journal editors are professionals who manage the peer review and publication process for scientific journals while working from a location outside the traditional office, often from home. Their responsibilities include evaluating manuscript submissions, coordinating with reviewers and authors, making editorial decisions, and ensuring the quality and integrity of published content. Remote work allows these editors to collaborate with international teams and handle submissions from around the world using digital communication tools. This role requires a strong background in science, excellent communication skills, and attention to detail. The position is ideal for those who are organized and can work independently in a virtual environment.
What are the most commonly searched types of Science Journal Editor jobs in Boston, MA? The most popular types of Science Journal Editor jobs in Boston, MA are:
What are popular job titles related to Remote Science Journal Editor jobs in Boston, MA? For Remote Science Journal Editor jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Science Journal Editor jobs in Boston, MA look for? The top searched job categories for Remote Science Journal Editor jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Science Journal Editor jobs? Cities near Boston, MA with the most Remote Science Journal Editor job openings:
Infographic showing various Remote Science Journal Editor job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $71,407 per year, or $34.3 per hour.
Staff - Postdoctoral Research Fellow - AI for Science

Staff - Postdoctoral Research Fellow - AI for Science

Mitsubishi Electric Research Laboratories

Cambridge, MA โ€ข On-site, Remote

$135K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

MERL is seeking a highly motivated Postdoctoral Research Fellow in AI for Science to join our research team. This position offers a distinctive opportunity for early-career researchers to pursue independent, curiosity-driven research at the intersection of artificial intelligence and scientific discovery, within a collaborative industrial research lab that values academic-style innovation and publication.

The successful candidate will have the freedom to define and lead a research agenda aligned with MERLs strategic interests in applying AI to challenging problems arising in industrial and scientific domains. This includes advancing foundational methods while demonstrating impact in real-world systems.

We are particularly interested in candidates working at the intersection of AI and scientific domains, including but not limited to:

AI for Mathematics and Scientific Computing

  • AI-driven methods for optimization, numerical analysis, and large-scale scientific computing

  • Learning-based approaches to modeling and analyzing complex dynamical systems

  • Integration of machine learning with classical algorithms for improved efficiency and robustness

  • Hypothesis formation, sequential experiment design, analysis and deductive discovery.

  • Theorem development and proving, and algorithm discovery.

AI for Physical Sciences

  • Physics-constrained or physics-informed AI models for understanding and designing material properties (e.g., optical, electrical, thermal)

  • Data-driven and hybrid approaches for multi-scale modeling and simulation

  • Differentiable simulators

  • Discovery of emergent laws and governing equations in complex physical systems

  • Foundational models for thermodynamics and electro-magnetics

AI for Earth and Environmental Sciences

  • Methods for multi-scale environmental and geophysical systems

  • Remote sensing and spatio-temporal modeling using satellite or sensor data

  • Modeling, prediction, and decision-making for environmental and climate-related applications

Responsibilities for this position include:

  • Define and pursue an independent research program in AI for Science, aligned with MERLs research directions
  • Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
  • Collaborate with MERL researchers across disciplines to connect fundamental advances with industrial applications
  • Publish research results in top-tier conferences and journals
  • Contribute to the broader research community through open-source software, datasets, or other artifacts where appropriate

Qualifications for this position are:

  • PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field (or expected completion before start date)
  • Strong background in machine learning, artificial intelligence, and computational science
  • Experience in applying AI to scientific or engineering domains, particularly those domains described above
  • Demonstrated ability to conduct independent research, as evidenced by a strong publication record in relevant venues
  • Excellent communication skills and ability to collaborate in a multidisciplinary research environment

The pay range for this position at the commencement of employment is expected to be between $135,000 and $170,000 per year. Actual base pay will depend on a variety of individualized factors, including job-related knowledge, skills, and experience.

In addition to base salary, the total compensation package will include an annual performance-based bonus and a comprehensive benefits program encompassing medical, dental, and vision coverage; a generous 401(k) match; commuting and home office stipends and various paid time off programs (including vacation, sick time, personal and parental leave). Specific details regarding participation in these programs will be provided upon an offer of employment.

Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

PRINCIPALS ONLY. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.


Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.