Research support technician 2026/CP/238

University of A Coruña; España; Presencial; EUR 26.000 - 36.000; Jornada completa

Descripción de la vacante

Universidad de A Coruña busca un técnico de apoyo a la investigación con formación MECES Nivel 3 para colaborar en tareas de análisis y gestión de datos en el marco del grupo de investigación Cardiovascular.

Deberá fusionar y limpiar bases de datos clínicas, aplicar técnicas estadísticas básicas y avanzadas, y presentar resultados de forma clara, contribuyendo a publicaciones y al progreso de los proyectos financiados. Se ofrece contrato estable y horario de 35 horas semanales.

Formación

• Experiencia en gestión de bases de datos de salud.
• Experiencia en análisis de datos y técnicas estadísticas.
• Capacidad de presentar datos de forma gráfica.
• Conocimiento de software estadístico (SPSS, Stata, R, Epidat).

Responsabilidades

• Apoyar tareas de análisis de datos en los proyectos del grupo.
• Fusionar y limpiar bases de datos clínicas-epidemiológicas.
• Aplicar técnicas estadísticas básicas y avanzadas.
• Presentar resultados de forma clara en informes y publicaciones.

Conocimientos

Data analysis

Survival analysis

Statistical models

Teamwork

Educación

MECES Level 3 (Máster)

Herramientas

SPSS

Stata

R

Epidat

Descripción del empleo

Organisation/Company University of A Coruña Research Field Computer science » Database management Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 2 Oct 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026/CP/238 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Grant reference: ED431C 2026/33
Title: 2026 Grants Programme for the Consolidation and Structuring of Competitive Research Units

Research line / Scientific-technical services: Cardiovascular Research Group

GRANT PERIOD:
Start: 01/01/2026
End: 31/10/2029

HOST CENTRE: Faculty of Health Sciences

PURPOSE OF THE CONTRACT: Cross-cutting support in data analysis across all the research lines of the group.

The successful candidate will collaborate in the research tasks of the project/agreement indicated above.

PLACE AND WORKING HOURS

O Fortín Building, Oza Campus. Monday to Friday, from 9:00 a.m. to 4:30 p.m.

PROJECT DETAILS

Title: 2026 Grants Programme for the Consolidation and Structuring of Competitive Research Units.
Modality: Competitive Reference Groups (GRC). Modality A. Xunta de Galicia Research Groups.
Reference: ED431C 2026/33 – Cardiovascular Research Group (GRINCAR)
Principal Investigator: Dr Javier Muñiz García

TASKS TO BE PERFORMED

A research support technician with MECES Level 3 (Master’s degree) training is required to carry out support tasks in data management and analysis within the projects developed by the group. These tasks include, but are not limited to, the following:

• Merging and cleaning databases from clinical-epidemiological research projects.
• Data analysis using basic and advanced statistical techniques.

CONTRACT DURATION

This position is considered a key support measure for the consolidation of the group, and the contract is therefore intended to last for the duration of the consolidation grant that funds it.

Qualification

Qualification: MECES Level 3 (Master’s degree), with a focus on statistical data analysis.

Required

• Experience in the management of health databases, including their merging, filtering, cleaning and labelling.
• Proven experience in health data analysis and in the use of basic and advanced techniques, including basic descriptive and inferential statistics, survival analysis, regression models, data imputation techniques, application of competing-risks models, and others.
• Proven experience in the graphical presentation of data.
• Knowledge of and proven experience in the use of statistical and epidemiological analysis software packages (SPSS, Stata, R, Epidat and others).

Additional qualifications that will be considered

• Experience in accessing and using open public databases containing health information suitable for research purposes (GLOBOCAN, INEBASE and others).
• Participation in scientific articles in the field of biomedicine, including the preparation of responses to reviewers, particularly with regard to the methodological aspects of each study.
• Proven experience in the graphical and tabular presentation of data for publication in scientific journals in the field of biomedicine.
• Ability to work as part of a team.

Additional Information

Eligibility criteria

MERIT ASSESSMENT CRITERIA

SPECIFIC TRAINING IN STATISTICS AND DATA ANALYSIS (Maximum: 15 points)

• University-specific postgraduate studies: Score: 4–8 points (maximum 8 points).
• Other training (non-postgraduate studies): Score: 2 points (maximum).

PROFESSIONAL EXPERIENCE (Maximum: 15 points)

• Time worked under contracts related to statistical data analysis:
  Score: 2 points per year worked. Only professional experience related to the purpose and tasks of the contract will be taken into consideration.

EXPERIENCE IN DATA MANAGEMENT AND ANALYSIS (Maximum: 45 points)

Proven experience in data management and the use of statistical techniques in research projects. Projects and techniques applied must be described.

Score: Each project will be assessed from 0 to 2 points, depending on the techniques used, their complexity and the variety of software programmes used. The score for each project will be weighted according to its relevance to the tasks to be performed, as follows:

• Data analysis in projects in the cardiovascular field: Weighting = 1.
• Data analysis in projects in other areas of biomedicine: Weighting = 0.5.
• Data analysis in projects in other areas not related to biomedicine: Weighting = 0.25.

OTHER MERITS (Maximum: 5 points)

Scientific publications in journals included in the Journal Impact Factor (JIF).

Score: Each publication will be awarded up to 2 points, depending on its relative position in the JIF and its relevance to the research area of the group, applying the following weighting factors:

• Articles in the cardiovascular field: Weighting = 1.
• Articles in other areas of biomedicine: Weighting = 0.5.
• Articles in other areas not related to biomedicine: Weighting = 0.25.
• Articles published in journals in the first tertile of their category in the JIF: Weighting = 1.
• Articles published in journals in the second tertile of their category in the JIF: Weighting = 0.66.
• Articles published in journals in the third tertile of their category in the JIF: Weighting = 0.33.
• Among the highest-ranked candidates, the suitability of the curriculum vitae for the position will be assessed.*

At the end of the selection process, a reserve list will be established comprising candidates who, excluding the personal interview, have obtained a score of 50 points or more.

* The three highest-scoring candidates will be interviewed, provided that their score in the other sections is less than 15 points below that of the highest-scoring candidate.

Selection process

PLACE FOR SUBMISSION OF APPLICATIONS AND DOCUMENTATION

PLACE: UDC Electronic Office. Applications should be addressed to the Vice-Rectorate for Research and Knowledge Transfer, quoting the reference number of the call.

DEADLINE: 5 working days from the day following the publication of the call on the notice board of the UDC Electronic Office.

SELECTION BODY AND PUBLICATION OF THE DECISION

SELECTION COMMITTEE (minimum of three full members and three alternate members):

PLACE OF PUBLICATION OF THE DECISION: Notice board of the UDC Electronic Office.

Additional comments

General required documentation:
1. Copy of national identity document or passport
2. Copy of degree certificate in Spanish or English. If obtained outside the European Union it must be apostilled or legalised by the Spanish Embassy.
3. CV in English or Spanish/Galician
4. Responsible declaration that the requirements of the call are fulfilled.
5. Responsible declaration of the veracity of the data stated in the application

*If you are a candidate from abroad in Spain, please contact [e-mail] for instructions on how to apply to this call.