Machine Learning Scientist: AI-Driven DEL Drug Discovery

Thesgc

Barcelona

Presencial

EUR 60.000 - 80.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Thesgc is looking for a Machine Learning Scientist in Barcelona to develop ML methodologies for small-molecule drug discovery. You will collaborate with academic and industry partners and contribute to innovative drug discovery applications using cutting-edge ML techniques.

The ideal candidate will have a PhD in relevant fields and experience with Python and ML frameworks. This is a strategic position within a collaborative environment, offering significant opportunities for professional growth.

Formación

  • PhD in machine learning, artificial intelligence, cheminformatics, or a related discipline.
  • Training in drug discovery, medicinal/computational chemistry.
  • Proven track record in machine learning applied to small-molecule drug discovery.

Responsabilidades

  • Lead the development of machine learning and deep learning methods for drug discovery.
  • Contribute to DEL-ML benchmarking challenges.
  • Collaborate closely with international partners and present results at meetings.

Conocimientos

Strong knowledge of machine learning and deep learning methodologies
Strong programming skills in Python
Good working knowledge of Unix/Linux environments
Excellent command of English
Ability to work independently
Strong analytical and problem-solving skills
Excellent communication and presentation skills

Educación

PhD in machine learning, artificial intelligence, cheminformatics, or related discipline

Herramientas

PyTorch
TensorFlow

Descripción del empleo

Thesgc is looking for a Machine Learning Scientist in Barcelona to develop ML methodologies for small-molecule drug discovery. You will collaborate with academic and industry partners and contribute to innovative drug discovery applications using cutting-edge ML techniques.

The ideal candidate will have a PhD in relevant fields and experience with Python and ML frameworks. This is a strategic position within a collaborative environment, offering significant opportunities for professional growth.

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