Scientfic Data Manager For The European Project Athlete Ga 874583-H2020

Instituto de Salud Global de Barcelona; Madrid; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Ein innovatives Forschungsinstitut sucht einen engagierten Scientific Data Manager, der federierte Analysen für das ATHLETE-Projekt leitet. In dieser Rolle tragen Sie zur Entwicklung von Softwaretools bei, unterstützen Wissenschaftler bei der Nutzung von Analysetools und fördern die Prinzipien der FAIR-Datenverwendung. Sie werden aktiv in der DataSHIELD-Community mitarbeiten und eine Schlüsselrolle bei der Veröffentlichung wissenschaftlicher Ergebnisse übernehmen. Wenn Sie eine Leidenschaft für Datenmanagement und wissenschaftliche Forschung haben, ist dies Ihre Chance, einen bedeutenden Einfluss auf die Gesundheit von Gemeinschaften zu nehmen.

Formación

• Erfahrung in der Verarbeitung und Verwaltung komplexer Daten.
• Fundierte Kenntnisse in statistischen Analysen mit R und Python.

Responsabilidades

• Entwicklung von Softwaretools für föderierte Analysen.
• Unterstützung von Endbenutzern bei der Nutzung von Analysetools.

Conocimientos

Biostatistik

Bioinformatik

R

Python

Datenmanagement

Problem-solving

Kommunikationsfähigkeiten

Educación

Diplom in Biostatistik oder Bioinformatik

Herramientas

DataSHIELD

Armadillo

Opal

Descripción del empleo

ISGlobal is looking for a motivated Scientific Data Manager for federated analyses at the Department of Genetics, UMC Groningen, The Netherlands to work on the ATHLETE (Advancing Tools for Human Early Lifecourse Exposome Research and Translation) project. The ATHLETE project has received funding from the European Union’s Horizon research and innovation programme and aims to implement the exposome in birth cohorts in order to study the effects of a wide range of community-level and individual-level environmental risk factors on mental, cardiometabolic, and respiratory health outcomes and associated biological pathways during the first 2 decades of life. The Scientific Data Manager will work on the development of DataSHIELD-based federated analysis tools for specific scientific research topics, assist scientists in using these tools, and contribute to the goals of the project in terms of FAIR data use. The Scientific Data Manager may be involved in onboarding activities, assist in migration and maintenance of data infrastructures, and advise in the general development of tools and use of infrastructure.

Field Research

• Biological sciences
• Computer science
• Environmental science
• Technology

Key Responsibilities

• Contribute to the development of software tools for federated analyses
• Support end-users in using analysis tools within the scope of their scientific research topics
• Have a prominent role in the community of researchers using the software for federated analyses
• Contribute to data use according to FAIR principles and data harmonisation
• Assist in data entry and disclosure within the infrastructure
• Technical maintenance and upgrades of infrastructure
• Take a leading role in publishing and presenting on scientific topics involving federated analysis
• Active involvement in the DataSHIELD community with the emphasis on MOLGENIS Armadillo software tools

This job description is not a definitive or exhaustive list of responsibilities but identifies the key responsibilities and tasks of the post holder. The specific objectives of the post holder will be subject to review as part of the individual professional assessment process.

Training and Experience / Qualifications

• Educated to diploma level in biostatistics, bioinformatics or related topics
• Experience in processing and managing complex data
• Successfully concluded statistical analyses in R
• Experience with federated analysis tools : DataSHIELD, Armadillo, Opal
• Extensive experience with scientific programming languages at the development level : R and Python
• Experience with big datasets : data manipulation, analysis, visualization
• Knowledge of FAIR principles
• Experience with guiding and instructing scientists
• Established network of researchers and DataSHIELD / Armadillo / Opal users and software suppliers
• Experience in epidemiological, medical or laboratory sciences is an advantage

Skills

• Responsible, flexible, and possessing problem-solving skills
• Excellent organization and team-working skills
• Effective verbal and written communication skills
• Self-organized and able to work remotely

The post holder will adhere to ISGlobal principles contained in People management policy, including equity, diversity, and health safety. The post holder will respect and be accountable to ensure ISGlobal policies and procedures.