Scientific Editor, Patterns (Data Science)

TL;DR

Scientific Editor, Patterns (Data Science): Evaluating submissions, commissioning content, and shaping journal strategy for impactful open-access research in data science, machine learning, AI, and statistics with an accent on rigorous peer review and reproducible science. Focus on building global networks, implementing agenda-setting strategies, and collaborating to broaden research community footprint.

Location: Candidates located in and with right-to-work in UK, Germany, USA, or China; preferred proximity to offices in London/Oxford UK, Munich Germany, Medford USA, Beijing/Shanghai/Shenzhen China. Flexibility in location potentially offered.

U.S. National Base Pay Range: $53,900 - $89,800. Geographic differentials may apply.

Company

Global leader in information and analytics supporting science, research, health education, and healthcare.

What you will do

• Rigorously evaluate submissions against journal's demanding requirements.
• Build global networks and commission world-leading submissions.
• Contribute to and implement journal strategy to keep it topical, distinctive, and impactful.
• Collaborate with Cell Press colleagues to broaden footprint and serve research communities.

Requirements

• Masters or PhD-level degree and published research in data science, machine learning, statistics, AI, or related area.
• Enthusiasm for and knowledge of open science and reproducible research.
• Excellent communication skills and ability to edit/improve scientific text.
• Willingness to learn and absorb new research areas.
• Right-to-work in UK, Germany, USA, or China.

Nice to have

• Prior editorial experience.

Culture & Benefits

• Healthy work/life balance with wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
• Flexible hours to fit productivity and responsibilities.
• Country-specific benefits including health, holidays, and more.

Hiring process

• Apply via link with resume and cover letter detailing motivation, background alignment with role and journal goals.