Scientific Editor, Patterns (m/f/d)

Standort:

• München

Elsevier GmbH Jetzt bewerben

Zusammenfassung

• Arbeitszeit Vollzeit
• Typ Festanstellung

Gewünschte Fähigkeiten & Kenntnisse

Machine Learning MOST across Support CAN Übersetzungssoftware Engagement Flexibilität

Stellenbeschreibung

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

  About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future.

  We harness innovative technologies to support science and healthcare to partner for a better world.

Ihre Aufgaben

The Scientific Editor will be closely involved in all editorial aspects of the journal. Candidates located in and with the right-to-work in the UK, Germany, USA, or China are encouraged to apply. While we can potentially offer flexibility in location, there would be advantages for candidates based in proximity to our offices in London or Oxford UK; Munich, Germany; Medford, USA; or Beijing, Shanghai or Shenzhen, China.,

• Rigorously evaluating submissions against Patterns' demanding requirements

• Building global networks and commissioning world-leading submissions

• Contributing to and implementing a journal strategy that ensures Patterns remains topical, distinctive, impactful and agenda-setting

• Collaborating with Cell Press colleagues to broaden our footprint and ensure we continue to meet the needs of the research communities we serve

Ihr Profil

• Have a Masters or PhD-level degree and published research in data science, machine learning, statistics, artificial intelligence or a related research area

• Enthusiasm for and knowledge of open science and reproducible research

• Have excellent communication skills and the ability to edit and improve scientific text
• A willingness to learn and absorb new areas of research

• Prior editorial experience is desirable but not essential

Kontakt

Please apply via the link and submit your resume and a cover letter detailing your motivation for the role and explaining how your background and interests align with the role and the goals of our journal.

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Profil

Fachliche Voraussetzung

• Data Science, Künstliche Intelligenz, Machine Learning, Reproduzierbarkeit, Statistiken

Persönliche Fähigkeiten

• Kommunikation, Neugier, Passioniert, Teamarbeit

Schulabschluss

• Master

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Bewerbung

Jetzt bewerben

Branche:

IKT

Arbeitgeber:

Elsevier GmbH

Adresse:

Elsevier GmbH

Hackerbrucke 6

80335 Munchen

Web:

http://elsevier.de