Organisation/Company: Centro Nacional de Investigaciones Cardiovasculares Carlos III F.S.P.
Department: Translational Research Platform
Research Field: Computer science
Researcher Profile: Other Profession Positions
PhD Positions
Country: Spain
Application Deadline: 26 Nov 2024 - 23:59 (Europe/Madrid)
Type of Contract: Temporary
Job Status: Full-time
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description The Centro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P.) CNIC has been conceived to develop research of excellence, competitive and of international relevance in relation to cardiovascular diseases. The CNIC has a research center of 24,000 m2, located in Madrid, with more than 6,000 m2 for laboratories equipped with a state-of-the-art infrastructure and equipment.
Functions:
To develop and implement AI algorithms for the integration of clinical and molecular data in order to implement digital twins for cardiovascular research
To develop and implement advanced statistical methods of causal inference to enable simulation in digital twin models
The training program in AI and Big Data for Cardiovascular Health (cardiotrAIning) will involve theoretical and practical courses by prominent researchers in the field, placements in national and international collaborating institutions, and the work in a research line related to the use of AI to improve the diagnosis, treatment, and prevention of CV disease.
This grant/contract is funded by the European NextGenerationEU funds in the framework of the Recovery, Transformation and Resilience Plan through the Talent Attraction and Retention Programs initiative.
Minimum Requirements To be in possession of a PhD degree at the time of formalizing the contract.
To be in possession of a Master's degree in Bioinformatics, Data Science, Statistics, Engineering or a similar qualification.
Additional Information We offer:
Opportunity to work in a leading cardiovascular research institution equipped with state-of-the-art resources and technology.
Integration in a young translational research team, in a highly competitive environment
Start date: Not later than 01/01/2025
Valuable Requirements: C1. Experience working as a biostatistician in the clinical landscape
C2. Experience with advanced statistical methods such as unsupervised and supervised learning in high-dimensional biomedical data
C3. Experience working with scripting languages, such as R and Python
C4. Interview
Positive action: A correction index of 1.5 is established for each year of experience in the evaluation of the number of years in those criteria where experience is evaluated, in the event that the person has a disability higher than 66% and 1.2 in the event that the person has a disability higher than 33%.
Selection process Recruitment Plan:
The RESOLUTION OF THE SECRETARIAT OF STATE FOR PUBLIC FUNCTION APPROVING THE COMMON ACTION CRITERIA FOR THE RECRUITMENT PROCESSES IN THE STATE PUBLIC SECTOR ENTITIES of April 11, 2022, set forth in point 6.1 that "Unless a specific regulation establishes a merit-based recruitment system (concurso), the competition (concurso-oposición) must be the recruitment system."
In CNIC, the specific regulations approved by the Foundation's board of trustees establish a merit-based recruitment system (concurso) including a personal interview.
At least the 3 candidates with the highest score, as long as they reach the minimum of 50 points as a sum of criteria (C1-C3) will be interviewed. The candidate with the highest score will be hired given the total score (C1-C4) is higher than 65 points.
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