Project funded by MCIN / AEI / 10.13039/501100011033 / FEDER – “Precision Nutrition Strategies for Oncological Patients Based on Their Immuno-Metabolic Classification” – OnPrime (PID2022-138295OB-I00).

IMDEA Food is part of the Network of Madrid Institutes for Advanced Studies, promoted by the Community of Madrid, with the aim of conducting research that is both useful to society and of international scientific excellence. Within this framework, the project PID2022-138295OB-I00, titled “ON-PRIME: Precision Nutrition Strategies for Oncology Patients Based on Their Immuno-Metabolic Classification,” is being developed. For its proper execution, the project requires qualified research personnel.

The biostatistics researcher’s professional activity will consist of carrying out scientific and technical activities within the research project “Precision Nutrition Strategies for Oncological Patients Based on Their Immuno-Metabolic Classification” – OnPrime (PID2022-138295OB-I00).

Main functions to be developed:

- Bioinformatic and biostatistical analysis of data in omics technologies, health status and precision nutrition, including participation in discussions on study design and scientific publications. - Application of algorithms, databases and information systems, web technologies, soft computing, information theory and computation, data mining, image processing, modeling, circuit theory and statistics for the project.

- Perform complex statistical analysis, interpret statistical results, and prepare reports that include integrated summaries for reports, manuscripts, and proposal preparation.

- Development of molecular databases, including data filtering and normalization.

- Development of machine learning predictive models that integrate information from multiple sources (genetic data, dietary surveys, biochemical parameters, and others), enabling the construction of patient profiles with potential diagnostic and prognostic applications.

I. Entry requirements:

Education requirements:

* Education Level (Undergraduate, Bachelor Degree, Master Degree, PhD):

- Graduate in Biomedical Sciences or Experimental Sciences (Mathematics, Statistics, Biology, Chemistry, Biochemistry, Medicine,...)

- Postgraduate/university master's degree in Bioinformatics, Biostatistics, Computational Biology or related.

* Research Field: Bioinformatics and Biostatistics Applied to Precision Nutrition

II. Evaluation of merits:       

Other Education to evaluate:

-Additional training in genomics, microbiology, nutrition, molecular biology or biochemistry will be positively valued.

-Knowledge of English and relevant academic qualifications will be considered an asset.

-Additional training in the field of bioinformatics and/or biostatistics will also be valued.

Professional experience & expertise to evaluate:

-Previous research experience will be considered an asset.

-Professional experience in bioinformatics and/or statistics will be valued.

-Experience in the use of commonly applied tools and programming languages in the field (required: bash/Linux, R, and Python; desirable but optional: STATA, MATLAB, Java, XML, Perl, C, SQL, CUDA, Git, and Docker).

-Previous experience with Bioconductor, Biopython, and TensorFlow.

Other merits to evaluate:

-Author of scientific publications.

-Participation in scientific conferences.

-Knowledge and/or experience in machine learning and deep learning.

Capabilities & Skills (to evaluate in the interview):

-Analytical skills and critical thinking ability.

-Ability to integrate into a multidisciplinary team.

-Teamwork skills with strong interpersonal abilities.

-Excellent oral and written communication skills.

The selection of candidates will be carried out in accordance with the principles of equality, merit, capacity and publicity, as well as objectivity, independence and professional rigor, respecting the confidentiality of the participants' personal data, by means of a merit-based competition.

Once the deadline for the submission of applications has expired, and once the fulfilment of the requirements listed in the second base has been verified, the Selection Committee will proceed to assess the merits included in the curricula vitae related to the post and to select the candidates who best meet the established requirements,  and will then open a second selection phase consisting of a personal interview.

The personal interview will consist of a face-to-face or videoconference interview which will focus solely on the merits put forward by the candidates in the competition phase and will be aimed at assessing the candidate's suitability for the post. The interview will last a maximum of 45 minutes.

Scale - selection criteria:

The evaluation process will be carried out according to the following criteria:

I. Additional training to be assessed: 0-30*.

II. Experience to be assessed: 0-30*.

III. Other merits to be assessed: 0-10*.

IV. Interview: 0-30

Type of contract:  employment contract for scientific-technical activities (art. 23 bis  Spanish Science Law) in accordance with current legislation, with a probationary period established by law.

Dedication: full time (37,5 hours per week), flexible split day, from Monday to Friday.

Gross Annual Salary: Competitive remuneration based on the candidate’s merits and qualifications.

Duration:Indefinite, Open-ended, until the completion of the project(s).

Incorporation: immediately.

Headquarter of the IMDEA Food Insitute, Madrid (SPAIN)