IGTP
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The Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP) is seeking to incorporate a Clinical Data Manager to work on the INTEGRA-DM1 and DM1 Hub project database, the largest clinical registry of patients with Myotonic Dystrophy Type
1 (DM1) in Spain.
INTEGRA-DM1 is a complex multiomics project and DM1-Hub is a national clinical registry and research platform that supports clinical research, translational studies, and real world evidence generation in DM1. Due to the growing volume and complexity of the data, we currently need a professional with a transversal vision and strong analytical capacity to process and analyse clinical data in order to support strategic decision making, while responding to the evolving needs of the research group. The selected candidate will lead the development of a digital application to enable the prospective follow-up of patients, contributing to the construction of a natural history registry of the disease through the systematic collection of a wide range of Patient Reported Outcome
Measures (PROMs). In addition, the selected candidate will give support to the ongoing long-read genomic data analyses and lead exploratory studies combining omics and clinical data in order to better characterize the generated DM1-INTEGRA data and the existing DM1 cohort of the registry.
a) Lead the processing, analysis, and interpretation of data from INTEGRA-DM1 and the DM1-Hub project database. Developing of graphical user interfaces
(GUIs).
b) Building and maintaining pipelines, coding in Nextflow, R, Python, and Bash.
c) Apply a transversal and integrative analytical approach to support strategic decision making related to the evolution and sustainability.
d) Respond to data-related needs of the research group, translating clinical and scientific questions into analytical solutions.
e) Ensure data quality, harmonisation, standardisation, and interoperability of clinical datasets.
f) Design and lead the development of a digital application for prospective patient follow-up, enabling systematic data capture over time.
g) Implement and analyse a wide range of Patient Reported Outcome Measures
(PROMs) to support the study of the natural history of DM1.
h) Generate reports, visualisations, and scientific outputs for internal decision making, publications, and project deliverables.
i) Ensure compliance with ethical, regulatory, and data protection requirements related to clinical research data.
a) PhD in (Bio)informatics, Data Science, Biomedical Sciences, Computational Biology, or related disciplines.
b) Strong background in (bio)informatics and large-scale clinical and omics data analysis, especially genomics (long-read) and proteomics.
c) Demonstrated experience in processing, integrating, and analysing complex clinical or biomedical datasets.
d) Experience in designing and developing web and/or mobile applications (TRL 1-5), preferably in a clinical or healthcare research environment.
e) Proficiency in data analysis, workflow architecture tools (Nextflow, Snakemake) and programming tools (e.g. R, Python, SQL or similar).
f) Excellent written and spoken English and Spanish; knowledge of Catalan will be valued.
g) Strategic mindset, strong problem-solving skills, autonomy, and ability to collaborate in multidisciplinary teams.
Applications will be evaluated in accordance with the guiding principles and objectives of the supply systems, following the process described below:
Applications that do not meet the requirements, that are not included in the cases foreseen or that are not processed in accordance with the established procedure will not be considered in the selection process.
The call for applications will close on 23th November 2026.
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Source: Headcount Labs · original listing ↗
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