Research Scientist - ML in Computational Biology & HPC

Examplecorpsandbox

London

Hybride

EUR 82 072 - 128 971

Plein temps

14 jours+
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Avantages offerts par ce poste

Hybrid work model

Résumé du poste

InstaDeep is seeking a Research Scientist in Science to contribute to knowledge across fields and conduct experiments expanding the company’s scientific understanding. You will collaborate with researchers to develop ML methods for computational biology and adapt neural-network algorithms for supercomputing architectures.

We value PhD-level expertise, strong publications in top ML venues, and excellent communication. The role supports a hybrid work model with some in-office days.

Qualifications

  • Ph.D. in Computer Science, ML or related field.
  • Experience with PyTorch, TensorFlow and/or Jax.
  • Python 3 development and debugging experience.
  • Experience with HPC methods/frameworks like MPI, Ray.
  • Track record of research and publications in top conferences.

Responsabilités

  • Collaborate with researchers to develop ML methods for computational biology.
  • Identify research directions and design/implement models, tools and libraries.
  • Adapt neural-network algorithms for supercomputing architectures and parallel environments.
  • Report results clearly and contribute to publications.
  • Bridge research and product teams to apply fundamental research to projects.

Connaissances

Deep Learning
Python
Communications

Formation

Ph.D. in Computer Science or related field

Outils

PyTorch
TensorFlow
Jax
MPI
Ray

Description du poste

InstaDeep is seeking a Research Scientist in Science to contribute to knowledge across fields and conduct experiments expanding the company’s scientific understanding. You will collaborate with researchers to develop ML methods for computational biology and adapt neural-network algorithms for supercomputing architectures.

We value PhD-level expertise, strong publications in top ML venues, and excellent communication. The role supports a hybrid work model with some in-office days.

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