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, Lagos, 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!
Job Description
InstaDeep is looking for Research Engineers 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 Engineer, you will work closely with our Research Scientists to support our ambitious research agenda.
Responsibilities
- Collaborate within the Research Team and other in-house experts to develop machine-learning methods for problems in computational biology.
- Implement and test novel research ideas.
- Leverage classical and/or deep learning biology tools and large biological databases to perform protein design, sequence optimisation, molecular modelling, and other relevant tasks.
- Contribute to the design and implementation of models, tools and libraries to accelerate our research effort.
- Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments.
- Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing.
- Contribute to the team's publication efforts.
- Bridge the gap between the research and product teams by integrating new fundamental research into applied projects.
Requirements
- M.S./PhD in Computational Biology, Machine Learning or a related scientific field.
- Experience using Deep Learning frameworks like PyTorch, Tensorflow and/or Jax.
- Ability to understand, replicate and adapt to industrial standards research works Software engineering experience (Object-Oriented Programming, Unit Testing, Profiling, CI, Docker) via previous work or contributions to open-source projects.
- Excellent communication skills and collaborative spirit.
Desirables
- Individuals in this role are expected to be accomplished in computational biology and machine learning.
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 modelsDrug discovery and protein engineeringMolecular dynamicsStructural biology
Experience, with any of the following machine learning topics would be a plus.
Large Language ModelsGenerative models
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.
