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InstaDeep

Research Engineer Intern (Deep Learning for personalised immunotherapy)

Paris, France Remote Hybrid
Machine Learning Deep Learning Python PyTorch TensorFlow Git GCP
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Description
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!

At InstaDeep’s BioAI department, we push the boundaries of healthcare and medical science by combining cutting-edge biology and artificial intelligence expertise. Our projects range from designing next-generation vaccines and cancer treatments to advancing biopharmaceuticals for infectious disease prevention and therapy. By joining us, you’ll have the opportunity to collaborate with leading scientists, engineers, and biologists from both InstaDeep and BioNTech to tackle critical challenges in medicine.
As a Research Engineer Intern, you’ll work closely with a dynamic team of research engineers and computational biologists. Your mission will be to design innovative approaches for molecular modelling, protein interactions, protein design, and other related areas by leveraging your technical, analytical, and research expertise. You’ll gain a deep understanding of bioinformatics and business challenges while staying updated on the latest advancements in machine learning and biology.

In this role, you’ll:

Identify and apply state-of-the-art technologies to solve complex problems and improve existing solutions.

Contribute to the commercial deployment of these solutions.

Collaborate with a multi-disciplinary team to experiment with diverse approaches, analyse results, and deliver proof of concepts and minimum viable products.

Ensure continuous improvement and maintenance of industrial-grade solutions.

Write high-quality, maintainable, well-documented, and modular software libraries.


The internship focuses on building machine learning models to advance the development of personalised cancer vaccines. Two positions are available:
The first one will focus on improving peptide-MHC presentation and neoantigen immunogenicity prediction models.
The other position will work on integrating ML/DL techniques in mass-spectrometry data identification pipeline to improve the sequencing of proteins, which is crucial for downstream peptide-MHC presentation and neoantigen prediction.

Keywords:
Machine Learning, Deep Learning, Natural Language Processing, Computational Biology, Protein Design, Protein Engineering, Statistics, Data Analysis, High-Performance Computing, Immunotherapy, Proteomics, Mass Spectrometry.

Responsibilities

  • Design, implement, and deliver advanced research and engineering solutions within a multi-functional team, continuously enhancing algorithms and approaches.
  • Implement and evaluate cutting-edge machine learning models over healthcare data.
  • Manipulate and analyse large-scale, complex medical datasets under privacy constraints.
  • Clearly communicate and present development work and findings to diverse stakeholders.

Requirements

  • Undergraduate degree in Computer Science, Mathematics, or a related scientific field.
  • Currently pursuing an M.S. or Ph.D. in one of the relevant fields (master’s thesis internship or end-of-studies project for M.S. students).
  • Work permit for full-time employment in France.
  • Knowledge of Deep Learning for NLP (e.g. RNN, Transformer models).
  • Proficiency in Python development with an object-oriented programming (OOP) approach.
  • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Jax.
  • Research / software engineering experience demonstrated through internships, projects, open-source contributions, or coding competitions.
  • Familiarity with Git workflows and development with best coding practices.
  • Excellent communication skills in English.
* Important: All applicants must submit their CV/Resume and Cover letter in English. *

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.
InstaDeep
InstaDeep
Artificial Intelligence (AI) Information Technology

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