Applied Research Scientist, Computational Protein Design
Paris
BioAI – BioAI (All Teams) /
Permanent /
Hybrid
Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Kigali, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London. We are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.
Join us to be a part of the AI revolution!
InstaDeep is looking for an applied research scientist specialised in protein-based biologics design to join our Paris team. In such a position, you will contribute to bridge the gap between fundamental research and real-world implementation by developing tools dedicated mainly to protein engineering in order to impact challenging applications in immunology, infectious diseases, enzymes, vaccines, biosensors and bio-nanoparticles, etc. In tight collaboration with your colleagues within the company and with partners, you will contribute to new scientific discoveries taking advantage of your unique expertise of both classical molecular modelling approaches and recent advances in machine learning for protein engineering. Specifically, the applied research scientist holds a strong technical, analytical and scientific research skills evidenced by a solid track record of published research on challenges inherent to its domain. Your ability to both conduct research and translate domain knowledge into concrete implementation is essential to the success of your mission.
Keywords: Computational Biology, Structural Bioinformatics, Molecular Modelling, Protein Interactions, Protein-based Biologics Design, Machine Learning, Deep Learning.
Responsibilities
- Design, implement and deliver complex pieces of research and engineering for protein design.
- Understand and leverage the latest developments in structural bioinformatics and machine learning applications to biologics.
- Conduct rigorous data analysis and statistical modelling to understand the underlying architecture of biological data and hidden biases in machine learning models.
- Communicate and collaborate with research engineers in a multi-functional team with an open-minded and research-driven aptitude.
- Report results clearly and efficiently, both internally and externally, verbally and in writing.
- Write high-quality, maintainable, and modular code together with concise documentation.
Requirements
- Master, PhD degree or equivalent experience in Structural Bioinformatics, Machine Learning or related scientific field.
- A strong foundation in biochemistry, and/or biophysics.
- Understanding of fundamental principles of molecular biology and the structure-function relationships of proteins.
- Hands-on experience with structure prediction tools (like AlphaFold), biological datasets (PDB, Uniprot, etc.), protein language models, homology modelling, molecular modelling, inverse folding tools (such as ProteinMPNN or Rosetta) and visualisation tools (ex:PyMol).
- A demonstrated track record of high-quality scientific publications.
- Good software engineering experience (Python, Docker, Linux, Git).
- Excellent communication skills in English.
- Knowledge of proteomics, immunology is a plus.
- Appropriate work permit for the considered location.
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.
