Logo of Huzzle


Research Scientist in Science (Machine Learning and Computational Biology)

Logo of InstaDeep


Oct 11

🚀 Off-cycle Internship


AI generated summary

  • The ideal candidate for this Research Scientist position must have a PhD in Computational Biology or Machine Learning, a track record of high-quality research publications, strong communication and collaboration skills, proficiency in deep learning frameworks (PyTorch, Jax, Tensorflow), and expertise in computational biology or machine learning. Desirable qualifications include experience with biological topics, large datasets and databases, protein language models, drug discovery, molecular dynamics, structural biology, and machine learning topics like large language models and generative models. Familiarity with handling 3D structural data using techniques such as Graph Neural Networks is also valued.
  • The Research Scientist will develop and implement deep learning research in computational biology, collaborate with internal and external partners, publish results, and present findings to contribute to the company's goals and represent InstaDeep at conferences/events.

Off-cycle Internship

Research & Development, DataLondon


  • InstaDeep is looking for Research Scientists to join our Research Team in London, working at the intersection of machine learning and life sciences. Our in-house Research Team aims to build foundational expertise and develops the next-generation in of deep learning technologies for life science applications; for example, generative models for protein sequence and structure, protein structure prediction and inverse folding, ML-enhanced molecular dynamics, learning meaningful representations from proteomics datasets, and more. This necessarily requires expertise not just in machine learning, but also in the curation of experimental data and computational modelling techniques such as homology modelling, molecular dynamics with classical force fields, quantum chemistry calculations with density functional theory.
  • As a Research Scientist, you will leverage demonstrated you expertise to help shape and deliver the our research agenda, enabling us to stay ahead of the curve in this exciting field.


  • Requirements:
  • PhD in Computational Biology, Machine Learning or a related scientific field.
  • A demonstrated ability to successfully deliver high-quality research, for example through the publication of scientific papers in journals or conferences.
  • Excellent communication skills and collaborative spirit.
  • Experience using deep learning frameworks such as PyTorch, Jax and/or Tensorflow.
  • Software development skills in Python.
  • Desirables:
  • Individuals in this role are expected to be accomplished in computational biology and machine learning, with deep expertise in at least one area evidenced by relevant academic/industrial experience or publications.
  • Experience with any of the following biological topics would be a plus.
  • Experience working with large biological datasets, databases (PDB, Uniprot, etc.) and their API technologies.
  • Protein language models
  • Drug discovery and protein engineering
  • Molecular dynamics
  • Structural biology
  • Experience, with any of the following machine learning topics would be a plus.
  • Large Language Models
  • Generative models
  • Methods for handling 3D structural data, such as Graph Neural Networks

Education requirements


Area of Responsibilities

Research & Development


  • Develop and implement novel research on the application of deep learning to biology.
  • Contribute to team research and publish results at leading journal and conference venues.
  • Suggest and engage in collaborations to meet Research Team goals. This includes both external partners and fostering internal knowledge sharing and collaboration with our applied BioAI department and our strategic partners, such as BioNTech.
  • Report and present experimental results and research findings, both internally and externally, verbally and in writing.
  • Upon request, collaborate with other groups’ activities, including but not limited to presenting the company to new prospective clients, participating in calls and meetings, and representing InstaDeep at conferences/events.


Work type

Full time

Work mode