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An innovative company is seeking a Structural Bioinformatics Scientist to join their dynamic team in London. This role offers the chance to work at the forefront of drug discovery, leveraging advanced machine learning techniques to tackle complex biological challenges. You will contribute to groundbreaking projects aimed at designing novel therapeutics, collaborating with multidisciplinary teams, and engaging in a culture of continuous learning and inclusion. If you are passionate about using your expertise to make a real impact on human health, this is the perfect opportunity for you.
We are here to advance human health, by re-imagining drug discovery with the power and pace of artificial intelligence.
The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured by better and faster drug discovery.
Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.
Isomorphic Labs (IsoLabs) was founded in 2021 and is led by Sir Demis Hassabis. Our aim is to usher in a new era of biomedical breakthroughs and find cures for some of humanity’s devastating diseases.
Our foundations are built on the success of Google DeepMind’s AlphaFold, but we didn’t stop there! We are continuing to develop and implement state-of-the-art technologies as we move towards our goal of dramatically accelerating and improving the process of designing and bringing new medicines to patients.
We have built a world-leading drug design engine comprising foundational AI models that are capable of working across multiple therapeutic areas and drug modalities.
You will be joining as a core member of the Structural Bioinformatics team, focused on tackling the most challenging drug discovery problems at proteome-wide scales.
As a member of the Structural Bioinformatics team, you will be responsible for the application and development of applied ML methods leveraging our state-of-the-art platform to characterise and interrogate the proteome unlike ever before. The scope of work spans the study of protein folds, protein function, protein-protein and protein-ligand interactions, with the goal of designing novel therapeutics.
We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.
Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.
Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.
Determined
Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it.
Together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.
We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.
We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law.
It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week.