Research Scientist

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 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 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 you expertise to help shape and deliver the our research agenda, enabling us to stay ahead of the curve in this exciting field.

Responsibilities

• 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.

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

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.