Data Curator (Chemistry), London

We are here to advance human health, by reimagining 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.

Our values exist in service of that future. We think they'll help us bring it closer, too.

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.

The world we want tomorrow is the one we're building today. It starts with the culture at this company. It starts with you.

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. The company is continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

This is an exciting opportunity to join the newly established Data team at IsoLabs, working closely with world leading AI experts and Drug Discovery scientists to establish machine learning ready datasets that power the discovery of the next generation of medicines. As a data curator specialising in chemistry and biochemical properties you will be foundational in ensuring the quality of data and lead our efforts to represent biochemical information in the most impactful way for IsoLabs an AI driven drug-discovery platform.

• Integrate large scale biochemical datasets and curate them to enhance their quality and create interoperable data assets that fuels IsoLabs research efforts.
• Work in partnership across research teams to create ML-ready datasets and use your expertise in biochemistry to maximise the quality and scale of available training data.
• Partner with drug discovery project teams to streamline experimental assay data integration and management processes.
• Contribute to the data team's efforts to identify, evaluate and assess new data sources and data generation opportunities.
• Collaborate to devise novel ways to couple machine learning based data extraction methods with human domain expertise to build large scale high-quality datasets.
• Develop innovative approaches to generate high quality synthetic data to supplement experimental data in ML development.
• Communicate your work and raise awareness of opportunities to improve data quality.

• Proven experience working in industry at a biotech or pharmaceutical company or closely with industry at a research institution.
• PhD in Chemistry or Cheminformatics, or equivalent experience in scientific research.
• Expert in (bio)chemical data representation, analysis and curation including chemical structure, biochemical properties and retrosynthesis data.
• Experience working with a broad range of experimental assay readouts used in the drug discovery Hit Identification and Lead Optimisation process (e.g. binding assays, ADMET properties).
• Deep knowledge of chemistry databases and data sources and approaches to improve their interoperability for machine learning use cases.
• Experience at curating structure-activity data and other molecular properties from unstructured sources including patents and scientific literature.
• Good understanding of data quality in the context of machine learning for chemistry.
• Experience at using cheminformatics and data science toolkits and an ability to apply them as part of data pipelining tools (e.g. Knime), python scripts and/or SQL.

• Expertise in structural bioinformatics and protein structure data processing.
• Familiarity with using APIs from biochemical databases such as PubChem and ChEMBL.
• Familiarity with data engineering concepts and experience with running jobs on Cloud-based infrastructure.

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. Because disease won't wait, so neither should we.

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 our teams to reflect and represent the populations we are striving to serve. We're working to build a supportive and inclusive environment where collaboration is encouraged, learning is shared and every employee feels like they truly belong. We value diversity of experience, 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 (currently Tuesday, Wednesday, and one other day depending on which team you're in).