Applied Research Scientist, AI (RNA, Biology Focus)

InstaDeep Ltd; London; Hybrid; GBP 45,000 - 75,000; Full time

Job summary

InstaDeep Ltd is seeking an Applied Research Scientist to join their innovative team in London. This role focuses on advancing AI and biological sciences, particularly addressing RNA design and optimization, combining deep scientific research with practical product development. The ideal candidate will have a PhD, strong programming skills in Python, and a passion for bridging theoretical innovation with real-world application. Join a dynamic, collaborative environment at a pioneering AI company and contribute to groundbreaking advancements in the life sciences.

Qualifications

• Proven experience with classical and deep learning algorithms applied to biological problems.
• Strong foundation in molecular biology principles.
• Ability to design and execute computational experiments.

Responsibilities

• Advance the state of the art in AI and biological sciences, particularly RNA.
• Create and manage high-quality datasets for multimodal biological models.
• Drive foundational research efforts for biological AI models.

Skills

Python

Deep Learning

Computational Biology

RNA Design

Molecular Modeling

Education

PhD in Transcriptomics, Computational Biology, or related field

Tools

PyTorch

Job description

Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. We are always on the lookout for talented minds to join our dynamic team and contribute their unique insights. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide.

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!

We are seeking Applied Research Scientists with expertise in RNA modeling, RNA optimization, or RNA design to join our world-class, multi-disciplinary team. This role sits at the intersection of deep scientific research and practical product development, aimed at building cutting-edge biological AI models and deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage their deep expertise in scientific principles, artificial intelligence, and computational biology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This position demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this role requires a passion for bridging the gap between theoretical innovation and real-world application, and the ability to thrive in a highly collaborativecross-functional environment.

Responsibilities

• Advance the state of the art in AI and/or biological sciences, particularly in areas such as RNA design, optimisation and modelling.
• Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches.
• Leverage both classical computational biology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by contributing to interpretability and performance analysis.
• Create, curate, and manage high-quality datasets essential for training and evaluating multimodal biological models.
• Contribute to and help shape the long-term research for AI-driven biological discovery and therapeutics.
• Drive foundational research efforts for the company’s biological AI models, including leading projects related to protein-focused foundation models.

Requirements

• PhD in Transcriptomics, Computational Biology, Artificial Intelligence, Machine Learning, or a related scientific field, or equivalent industry experience.
• Strong programming skills, especially in Python, with hands-on experience using deep learning frameworks such as PyTorch or similar libraries.
• Proven experience applying classical and deep learning algorithms to biological problems, ideally in domains such as RNA design, optimization, and molecular modeling.
• Strong foundation in biology, biochemistry, and/or biophysics, with a clear understanding of molecular biology principles and the structure-function relationships of biological macromolecules.
• Demonstrated ability to design and execute computational experiments, and to analyze, interpret, and clearly communicate results.

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 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.

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