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

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

Descripción de la vacante

An established industry player is seeking a motivated Scientific Data Manager to lead federated analyses in a groundbreaking research project. This role involves developing innovative software tools, supporting scientists in utilizing these tools, and ensuring data use aligns with FAIR principles. The ideal candidate will have a strong background in biostatistics or bioinformatics, coupled with extensive experience in R and Python programming. Join a collaborative environment where your contributions will significantly impact research on environmental health factors affecting early life stages. This opportunity is perfect for those passionate about data science and its application in health research.

Formación

• Educated to diploma level in biostatistics, bioinformatics, or related topics.
• Experience in processing and managing complex data.

Responsabilidades

• Contribute to the development of software tools for federated analyses.
• Support end-users in using analysis tools for scientific research.

Conocimientos

R

Python

DataSHIELD

Armadillo

Opal

Data manipulation

Data visualization

Problem-solving

Communication

Team-working

Educación

Diploma in Biostatistics

Diploma in Bioinformatics

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.