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2026_155_CLINICAL Data Manager - Grenba

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QUALIFICATIONS AND EXPERIENCE 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. WHAT WE OFFER

Tools in this posting

  • Bash
  • Python
  • R
  • SQL
Source — Tool mentions in context
MAIN RESPONSIBILITIES 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. QUALIFICATIONS AND EXPERIENCE
QUALIFICATIONS AND EXPERIENCE 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. WHAT WE OFFER

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

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JOB DESCRIPTION

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.


MAIN RESPONSIBILITIES

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.


QUALIFICATIONS AND EXPERIENCE

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.


WHAT WE OFFER

  • Type of contract and working hours: Permanent, full-time employment contract (under the Spanish Science Law / Ley de la Ciencia). 
  • 1 of January 2027.
  • 38.000 €/year.
  • Flexible payment (childminding vouchers).
  • 23 days holiday and 5 days for personal matters.
  • Training capsules by the company.
  • Be part of an excellent multidisciplinary research centre with the HRS4R badge.
  • Location on the Can Ruti Campus, a first-class translational research environment in the Barcelona area, in a very stimulating scientific environment.
  • The IGTP offers a supportive, friendly and collaborative ecosystem to promote professional development and help you achieve your research goals.


FOR MORE INFORMATION

  • www.dm1spain.com
  • https://www.germanstrias.org/es/research/neurociencias/5/grupo-de-investigacionen-enfermedades-neuromusculares-de-badalona-grenba


RESOLUCION


HOW TO APPLY

Interested persons must attach to the application:

  • Motivation letter explaining their interest in the position.
  • Updated CV.
  • Contact of 2-3 references.
Applications will be evaluated in accordance with the guiding principles and objectives of the supply systems, following the process described below:
  • Curricular evaluation: analysis of the curriculum vitae to assess aspects related to training, professional career and experience in positions related to the job position under selection.
  • Personal interview: once the résumé has been evaluated, the selected candidates will be called for a personal interview to verify and expand on the information detailed in the résumé and to evaluate aspects related to experience and professional skills.
  • 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.


    DEADLINE FOR APPLICATIONS

    The call for applications will close on 23th November 2026.

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