Research Engineer - BioAI
Kigali
BioAI – BioAI (All Teams) /
Permanent /
Hybrid
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!
Are you a BioAI - Research Engineer passionate about advancing healthcare and pushing the boundaries of medical science through a combination of expertise in biology and machine learning?
If so, then keep reading…
In the BioAI department, we advance healthcare and medical science boundaries through a combination of biology and artificial intelligence expertise. We are expanding a portfolio of successful initiatives across drug discovery, design, and protein engineering. Notably, we are developing next-generation vaccines and biopharmaceuticals for cancer treatment and the prevention and therapy of infectious diseases. 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.
Specifically, we work on the following research directions and apply them on a large scale in active production applications.
RNA Science: We are pushing forward the state of the art in optimising RNA for multiple characteristics, including expression and half-life in media and cells. We are developing advanced methods of RNA characterization and prediction of secondary and tertiary structures.
DNA Science: We are developing models of DNA chemistry to predict characteristics such as folding, binding energy, and melting temperatures. We apply these models in areas such as biomolecule synthesis optimisation.
Immunogenicity: We are building models to understand the mechanisms of immunogenicity to design personalised immunotherapies.
Protein Folding: We are designing, utilising, and improving the state-of-the-art protein folding models (e.g., AlphaFold 2, RFDiffusion, etc.) to investigate protein structural conformation and its distribution. These folding models are being used to understand protein functionalities, estimate protein stability, and study protein mutations and structural changes.
Protein Design: We are leveraging structural modelling, protein language models, protein folding models, and quality-diversity methods to perform protein design with experimental feedback from wet labs.
Protein-protein Interactions: We are developing predictive models based on molecular dynamic simulations and protein folding models to study protein-protein interactions, dissociation kinetics, binding affinity enhancements, and immune response activation.
Infectious Disease Modelling: We are actively monitoring the evolution of SARS-CoV-2 using structural modelling, DNA/protein language models, and protein folding models, with a direct impact on epidemiological studies and vaccine developments.
The BioAI - Research Engineer must accomplish the following:
- Follow and communicate the latest developments in machine learning and biology. Design, implement and deliver performant and scalable algorithms based on state-of-the-art machine learning and neural network methodologies using distributed computing systems on-premises and cloud infrastructures.
- Conduct rigorous data analysis and statistical modelling to explain and improve models.
- Report results clearly and efficiently, both internally and externally, verbally and in writing.
- Write high-quality, maintainable, and modular code together with precise documentation.
- Actively collaborate with the business development team in the pre-sales activities, including but not limited to presenting the company to new prospective clients, writing decks and proposals, participating in calls and meetings, and representing InstaDeep in conferences/events.
Who you are:
- Master's, PhD degree or equivalent experience in applied mathematics, computer science, or related scientific field.
- 1+ year experience in deep learning demonstrated via previous work, publications, contributions to open source projects, or coding competitions.
- Strong software engineering experience (Python, Docker, Linux).
- Strong experience using a machine learning framework (PyTorch, JAX, TensorFlow).
- Strong desire to work with biological applications.
- Data science and statistics experience including data visualisations, statistical testing, etc.
- Excellent communication skills in English.
- Appropriate work permit for the considered location.
Desirable:
- Knowledge of molecular biology, structural biology, -omics, immunology, or a related discipline.
- Knowledge of current research in deep learning applied to biology.
- Specialist computing knowledge, such as high-volume data storage and processing, high-performance computing, or deployment.
Desirable at Senior Level:
- 5+ years professional or academic experience in machine learning.
- Experience setting direction in machine learning research projects.
- Experience with and desire to mentor colleagues.
- Experience managing projects or leading teams.
- Experience bringing machine learning research to production.
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.
