Research Assistant on the Development and implementation of integrated artificial intelligence model

IBEC; Madrid; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading research institute in Spain is seeking a Research Assistant for a project related to Type 2 Diabetes. The role involves developing machine learning models and analyzing clinical data under expert supervision. Candidates must hold a Master’s degree in a relevant field and have proven experience in machine learning and data analysis. This full-time position offers attractive salary, comprehensive benefits, and a collaborative research environment.

Servicios

Attractive salary

Flexible working hours

Paid holidays and leave days

Training opportunities

Induction programme for new hires

Support for Visa-working permits

Formación

• Master's degree in a relevant field is required.
• Experience in artificial intelligence and machine learning model creation.
• Ability to manage and analyze genetic data in large cohorts is necessary.
• Good programming skills in Python and R are essential.
• Experience in genomic analysis of complex diseases is crucial.

Responsabilidades

• Access and prepare clinical and molecular data for analyses.
• Create and implement machine learning models for risk prediction.
• Apply models in diverse populations and generate evaluation protocols.
• Prepare periodic reports for collaborators.
• Promote dissemination of research findings.

Conocimientos

Machine learning

Statistical modeling

Programming in Python

Programming in R

Data analysis

Genomic analysis

Educación

Master in Biomedicine, Biotechnology, Biostatistics

Descripción del empleo

This job is with IBEC, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

With the aim to recruit research staff for the implementation of one of the sixteen "Collaborative Projects" selected in Catalonia within the framework of the Complementary Plan for Biotechnology in Catalonia, this selection process is opened. This Complementary Plan is co-funded by the Ministry of Science and Innovation and the Generalitat de Catalunya under the C17.I1 of the Recovery, Transformation and Resilience Plan (PRTR).

1. Introduction to vacant position

The Computational Genomics group led by Dr. David Torrents (Barcelona Supercomputing Center, BSC) is looking for a Research Assistant to be in charge of pushing a national project in collaboration with Institut d'Investigacions de Ciències per la Salut Germans Trias i Pujol (IGTP).

The contract will be within the framework of the "Development and implementation of integrated artificial intelligence models to predict the risk of Type 2 Diabetes" (IA4DT2) project prioritized by the IBEC under the "Plan Complementario de Biotecnologia aplicada a la Salud" (biotechnology applied to health).

This Plan Complementario is co-financed by the Ministerio de Ciencia e Innovación and the Generalitat de Catalunya, with funds from the European Union NextGenerationEU (PRTR-C17.I1).

The successful candidate will develop research involving

Under the supervision of Dr. David Torrents (ICREA Professor), the applicant will carry out the following research activities:

• In charge of getting access and preparing the clinical and molecular data required for the different analyses planned within the project.
• Creation and implementation of the necessary machine learning models for 1) discovering the variables affecting disease development and 2) predicting the risk.
• The candidate must be capable of applying the models in different populations and of generating protocols to evaluate and ensure the reliability of the outcomes.
• Elaboration of periodical reports to facilitate the follow up by the different collaborators.
• Promotion of the dissemination of the findings obtained within the project with the research community.

Requirements for candidates

• Master in Biomedicine, Biotechnology, Biostatistics or related discipline.
• Proven experience in the creation of artificial intelligence and machine learning models, and the use of statistical models.
• Experience in managing, organising, preparing, and analysing genetic data in large cohorts.
• Good programming skills in different languages including Python and R, and to be familiarised with HPC environments.
• Experience in the genomic analysis of complex diseases and to know the main factors predisposing to disease development (crucial).

Advantageous

• Candidates with previous knowledge of Type 2 Diabetes will be positively valued.

We Offer

• Number of available positions : 1
• Starting date : Between 1st of April and the 16th of June 2023

Working conditions

Full time 18-month contract. Attractive salary

Measures to reconcile work and family life (maternity and paternity leave, flexible schedule working hours, teleworking, 23 working days of paid holidays, 9 leave days for personal matters, among others).

Stimulating, interdisciplinary research and high-quality international scientific environment.

IBEC ensures equality of access to professional development opportunities irrespective of employment status, length at IBEC or other factors. The IBEC's yearly training catalogue offers a wide range of training in technical and transferable skills including mobility grants and a Mentoring programme for predoctoral and postdoctoral researchers.

Induction programme to facilitate incorporation at IBEC and additional support is provided for foreigners to obtain Visa-working permit and to install in Barcelona.

How to apply

Until February 24th

an online application form is available through IBEC dedicated site: https://careers.ibecbarcelona.eu/

Only those applications submitted before the deadline will be evaluated.

Reference

PPCC-IA4DT2

IBEC’s Commitment on equal opportunity

Our strength and excellence as an international transdisciplinary Research Institute are based on diversity.

Being an equal opportunity employer, we are committed to diversity and inclusion, so that we support employees irrespective of their gender, nationality, religion, disabilities, age, sexual identity or cultural and socioeconomic background.

Protection of personal data

IBEC guarantees that candidates' personal data are processed in accordance with the requirements of the EU General Data Protection Regulation (GDPR) and Law 3 / 2018 on Data Protection.

Personal data will be processed solely for the purposes of the selection process.

Principles of the selection process

IBEC is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit based Recruitment principles (OTM-R).

Contact

If you have any further questions regarding your application or the application process, please get in touch with us at [e-mail]

If you have any questions regarding a project or the Complementary Plan, please get in touch with us at [e-mail]