InstaDeep
InstaDeep

Research Engineer Intern in BioAI – Deep Learning for Protein Design

Stage
Paris
Salaire : Non spécifié
Télétravail fréquent
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InstaDeep
InstaDeep

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Le poste

Descriptif du poste

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.

Join us to be a part of the AI revolution!

Role description:

As a Research Engineer Intern in BioAI, you will be part of a team of research engineers and computational biologists collaborating with BioNTech and InstaDeep colleagues to research and apply machine learning solutions to Protein Engineering. You will follow the latest developments in both Deep learning and Structural Biology, to identify and harness the approaches best suited to Protein Design, and leverage your technical, analytical, and research skills to develop and improve cutting edge solutions.

Responsibilities

  • Support the efforts of the BioAI team through the development of novel methods and applications under the guidance of our Research Engineers.
  • Design and implement ML methods for proof of concept and benchmarking.
  • Contribute to team research and publications.
  • Report and present experimental results and research findings, both internally and externally, verbally and in writing.
  • Write high-quality, maintainable, well-documented, and modular python code.

    • Requirements

  • Currently enrolled in a Masters or PhD programme in a related STEM discipline.
  • Theoretical and practical knowledge in machine learning and deep learning, including experience with a deep learning framework such as Jax, PyTorch and/or Tensorflow.
  • Familiarity working with data (numpy, pandas, matplotlib, …).
  • Excellent communication skills and collaborative spirit.
  • Good programming skills in Python.

    • Beneficial

  • Application of deep learning to life sciences.
  • Software engineering skills (git, quality coding standards, …)
  • Specific experience in any of the following domains :
  • Large Language models, especially applied to biology
  • Graph Neural Networks
  • ML force fields and Molecular Dynamics

    • Our commitment to our people

    We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

    Right to work: Please note that you will require the legal right to work in the location you are applying for.

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