Bioinformatician In Machine Learning-Driven Enzyme Discovery And Design For Polymer Degradation

buscojobs España; Las Palmas de Gran Canaria; Presencial; EUR 3.000; Jornada completa

Descripción de la vacante

L'Institut de Catálisis et Petroleoquímica recherche un doctorant en biotechnologie avec un Master's pour un projet impliquant la bioinformatique et l'apprentissage machine. Les tâches incluent la modélisation des protéines et l'utilisation d'outils d'apprentissage machine pour concevoir des enzymes. Ce contrat de trois ans offre un salaire brut de 2,318.93 euros par mois.

Formación

• Diplôme en biotechnologie ou domaine apparent avec une moyenne minimale de 8.0/10.
• Expérience de 1 à 4 ans en outils de biotechnologie.
• Compétences en apprentissage machine et deep learning préférées.

Responsabilidades

• Générer des modèles structurels de protéines ciblées.
• Appliquer des méthodes d'apprentissage machine pour prédire les propriétés des enzymes.
• Cartographier les paysages d'énergie d'interaction protéine-ligand.

Conocimientos

Anglais

Bioinformatique

Programmation en Python

Programmation en R

Educación

Master en Biotechnologie ou domaine similaire

Master en Bioinformatique et Biologie Computationnelle

Herramientas

AlphaFold2

ProtGPT2

pyMol

Descripción del empleo

Organisation / Company: Instituto de Catálisis y Petroleoquímica

Department: Biocatalysis Research

Research Field: Biological sciences » Biological engineering

Researcher Profile: First Stage Researcher (R1)

Positions: PhD Positions

Country: Spain

Application Deadline: 30 Jun 2025 - 12:00 (Europe / Madrid)

Type of Contract: Temporary

Job Status: Full-time

Hours Per Week: 37.5

Funding: Not funded by a EU programme

Research Infrastructure Staff Position: No

Offer Description

The Systems Biotechnology group at the Instituto de Catálisis Petroleoquímica - Spanish National Research Council (ICP-CSIC) is seeking a dedicated graduate student with a Master's degree to pursue a PhD in Biotechnology, Bioinformatics, and Machine Learning as part of a 3-year contract (Category M3; gross salary of 2,318.93 euros in 14 payments) funded by the Regional Government of Madrid under the "César Nombela" Talent Attraction Grant (ref. 2024-T1ECO-31227).

The project aims to utilize Bioinformatics and Machine Learning to identify and design enzymes capable of degrading organic polymers and composite materials, which will then be integrated into microbes using synthetic biology techniques. Specific tasks include:

1. Generating structural models of target proteins/enzymes using AlphaFold or related tools.
2. Applying machine learning methods to predict properties such as expression and activity levels of these proteins/enzymes.
3. Mapping protein–ligand interaction energy landscapes for biocatalyst screening and engineering using molecular modeling techniques.

Candidates should have a degree in biotechnology or a related field with a minimum average score of 8.0/10. Proficiency in English is required. Previous experience in biotechnological, biocatalysts, bioinformatics, or computational research is valued.

Application process involves registration in the CSIC job placement pool and submission of CV and supporting documents via the CSIC application portal. Interested candidates can also send their CV directly to Rafael Bargiela.

Research Field

Biological sciences » Biological engineering

Education Level

Master Degree or equivalent

Skills / Qualifications

• Degree in Biotechnology or similar field.
• Master degree in Bioinformatics and Computational Biology.

Specific Requirements

• Experience with computational tools for protein structure analysis (e.g., AlphaFold2, RoseTTA, ESMFold).
• Experience with protein modeling and design tools (e.g., ProtGPT2, pyMol).
• Experience with AI and Machine/Deep learning tools.
• Programming skills in Python and/or Perl.
• Programming skills in R.
• Proficiency in English.

Research Experience: 1-4 years

Work Location(s): J-18808-Ljbffr