Data Curator, London

Data Curator, London

About Isomorphic Labs
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.

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 starting with 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.

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

Your impact
This is an exciting opportunity to join the 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 you will be foundational in ensuring the quality of data at scale and lead our efforts to represent chemical, biological, and clinical information in the most impactful way for IsoLabs, an AI driven drug-discovery platform.

What you will do

• Integrate large scale biomedical and biochemical datasets and curate them to enhance their quality and create interoperable data assets that fuel IsoLabs research efforts.
• Work in partnership across research teams to create ML-ready datasets.
• Use your expertise in chemistry and/or biology to maximise the quality and scale of available training data.
• 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.
• Communicate your work and raise awareness of opportunities to improve data quality.

Skills and qualifications
Essential:

• Proven experience working in industry at a biotech or pharmaceutical company or closely with industry at a research institution.
• PhD in a Life Science or Informatics discipline, or equivalent experience in scientific research.
• Expert in data representation, ontologies, and curation of high quality data assets.
• Experience working with a broad range of data types used in the drug discovery process (e.g. binding assays, ADMET properties).
• Deep knowledge of biomedical and biochemical databases and data sources and approaches to improve their interoperability for machine learning use cases.
• Working knowledge of Python and SQL with experience using cheminformatics and data science toolkits (e.g. RDKit, Pandas/Polars).
• Strong communicator and a proven collaborator with both multi-disciplinary biology/chemistry and product/engineering teams.

Nice to have:

• Familiarity with data engineering concepts and experience with running jobs on Cloud-based infrastructure.

Culture and values

• Thoughtful - curiosity, creativity and care.
• Brave - fearlessness, initiative and integrity.
• Determined - confidence in hypothesis, urgency and agility.
• Together - connection, collaboration across fields and catalytic relationships.

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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Hybrid working
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).