Research Technician; T3), Level 2, 16T; Data Scientist

Organisation/Company INCLIVA Biomedical Research Institute Research Field Medical sciences » Health sciences Researcher Profile Other Profession Positions Bachelor Positions Final date to receive applications 27 Mar 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Next Generation

EU Reference Number 15/2026 Is the Job related to staff position within a Research Infrastructure? No

The INCLIVA Foundation is a Health Research Institute accredited by the Carlos III Health Institute and as such an agent of the National Science and Technology System.
It is part of the public sector of the Generalitat Valenciana, has private legal personality and is governed by private law and its specific legislation, without prejudice to the rules of public law that apply to it.

A position is announced for a Research Technician (T3) level 2. 16T (Data Scientist) to carry out the project: "Creation of the Valencian Health Data Ecosystem by Integrating the Clínico-Malvarrosa, Gandía, and Sagunto Health Departments (INTEGRA-DPs)", within the framework of the Recovery, Transformation and Resilience Plan – Funded by the European Union – Next Generation EU. Under the direction of Dr.

Josep Redón.

Job responsabilities:

Coordination with the departments of ASI Valencia – Norte (Clínico, Gandía, and Sagunto) for the following tasks:

• Monitoring the loading and integration of large volumes of clinical data, ensuring quality, relevance, and consistency, as well as resolving issues during data filtering and processing.
• Liaison with IT and management personnel from the different hospitals.

Coordination of tasks related to the semantic model (OMOP, FHIR, etc.) and definition of ontological relationships:

• Standardization of all data to a common data model to ensure harmonization and standardization of clinical data according to OMOP (structures, vocabularies, and domains).
• Supervision of the implementation of OHDSI ecosystem tools (ATLAS) for analysis and validation.

Coordination of telemedicine activities, promoting the development of a useful and sustainable tool.

• Collaboration with multidisciplinary teams (health authorities, healthcare professionals, managers, ICT specialists, etc.) to ensure interoperability of clinical data.
• Documentation, monitoring, and quality assurance of data, ensuring traceability and consistency throughout the project lifecycle.
• Administrative work related to the technical tasks to be developed.

1.1 PhD or Official Master Degree in Data Science (of at least 60 ECTS credits or the equivalent in hours), related to the functions of the position. (If held, 15 points)

1.2 Training courses in Big Data, Artificial Intelligence, semantic interoperability, or innovative research methodologies:

• Courses of 100 or more hours: 5 points per course
• Courses of 75 or more hours: 3 points per course
• Courses of 50 or more hours: 2 points per course
• Courses of 25 or more hours: 1 point per course
• Courses of 15 or more hours: 0.5 points per course
• Courses of less than 15 hours: 0.25 points per course

(Up to 5 points)

2.1-Knowledge of the English language:
Level (B1: 2 points); (B2: 3 points); (C1: 4 points); (C2: 5 points) ( Up to 5 points)