Scientfic data manager for the European project ATHLETE GA 874583-H2020

TN Spain; Barcelona; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Una empresa innovadora busca un Gestor de Datos Científicos para un proyecto europeo emocionante. En esta posición, serás responsable de desarrollar herramientas de análisis federados y apoyar a los investigadores en la utilización de estas herramientas. Trabajarás en un entorno colaborativo, contribuyendo a la investigación sobre factores ambientales que afectan la salud en la infancia. Se valorará la experiencia en programación y análisis de datos, así como la capacidad de trabajar de manera autónoma. Si te apasiona la ciencia y la tecnología, esta es una gran oportunidad para hacer una diferencia en el campo de la salud pública.

Formación

• Educación en biostatística, bioinformática o temas relacionados.
• Experiencia en análisis estadísticos y gestión de datos complejos.

Responsabilidades

• Desarrollar herramientas de software para análisis federados.
• Apoyar a los usuarios finales en el uso de herramientas de análisis.

Conocimientos

Gestión de datos

Análisis estadístico en R

Programación en R

Programación en Python

Comunicación efectiva

Resolución de problemas

Trabajo en equipo

Educación

Diploma en bioestadística

Diploma en bioinformática

Herramientas

DataSHIELD

Armadillo

Opal

Descripción del empleo

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Scientific Data Manager for the European Project ATHLETE GA 874583-H2020, Barcelona

Client: ISGlobal

Location: Barcelona, Spain

Job Category: Other

EU Work Permit Required: Yes

Job Views: 2

Posted: 25.04.2025

Expiry Date: 09.06.2025

Job Description:

What We Are Looking for

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 to study the effects of a wide range of community-level and individual-level environmental risk factors on mental, cardiometabolic, and respiratory health outcomes during the first two 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 on 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 an 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 a 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 with 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 the People Management Policy, including equity, diversity, and health safety. The post holder will respect and be accountable to ensure adherence to ISGlobal policies and procedures.

• Fluent in English (level C1). Spanish is not mandatory, but will be positively evaluated.