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InstaDeep
InstaDeep

CompBio Machine Learning Intern (Optimisation)

Internship
London
Salary: Not specified
No remote work

InstaDeep
InstaDeep

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The position

Job 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!

In the BioAI department, we advance the boundaries of healthcare and medical science through a combination of biology and artificial intelligence expertise. We are pioneering the development of next-generation vaccines and biopharmaceuticals aimed at revolutionising the treatment and prevention of cancer and infectious diseases. Our innovative approaches are designed to target and combat some of the most challenging health issues of our time. By joining us, you will contribute to this effort in collaboration with scientists, engineers and biologists from both InstaDeep and BioNTech and have the opportunity to contribute to scientific papers submitted to leading conferences and journals.

In this position, you will be working closely with our team of machine learning and biology experts to help build AI-first drug design pipelines. Your work will support the development of AI-driven models that can improve our understanding of immune recognition, with applications in biologics discovery and cell therapies. This role offers an opportunity to contribute to cutting-edge research at the intersection of AI and immunotherapy, helping to develop methods that could enhance the design of next-generation therapeutics.

Responsibilities

  • Benchmark, optimise and fine-tune state-of-the-art protein structure prediction models related to immune recognition.
  • Evaluate different schemes for model scoring and assess their effectiveness in various use cases.
  • Optimise and work with different architectures for tasks related to protein structures, such as Graph Neural Networks (GNNs) and Transformers, incorporating multiple modalities including sequence, structure and noisy experimental data.
  • Report and present experimental results and research findings, both internally and externally, verbally and in writing.
  • Implement successful algorithms in Python production code, following software engineering best practices.

    • Requirements

  • Theoretical and practical knowledge of deep learning and machine learning algorithms, as well as numerical optimisation methods.
  • Experience of at least one deep learning framework such as JAX, PyTorch and/or Tensorflow.
  • Understanding of how to work with sequence and structure data, including preprocessing, representation and integration into ML models.
  • Software development skills in Python.
  • Previous exposure to research through internships or study projects.
  • Excellent communication skills and collaborative spirit.

    • Desirables

  • Currently in the process of completing an MSc or PhD in computer science, computational biology, applied mathematics or a related field.
  • Demonstrated ability to deliver high-quality research through publications, conference presentations, technical blog posts or code repositories.
  • Familiarity with ML approaches to biology, in particular applied to molecular or structural biology.

    • *Please submit you 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 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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