Data Curator (Chemistry), London
London
Isomorphic Labs
We’re a digital biology company here to redefine drug discovery with the power of artificial intelligence. We're glad you're here, let's get to workData Curator (Chemistry), London
Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.
We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.
Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture.
Your impact
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.
What you will do
- 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.
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 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.
Nice to have:
- 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.
Culture and values
What does it take to be successful at IsoLabs? It's not about finding people who think and act in the same way, but we do have some shared values:
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.
Creating an inclusive company
We realise 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 and learning is shared. 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. 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 be able to share knowledge and establish relationships with each other, and we find it easier to do this if we spend time together in person. This is why we’ve decided to follow a hybrid model, and for full time positions we would require you to be able to come into the office 3 days a week (currently Tue, Wed, and one other day depending on which team you’re in). For part time positions this may vary. As an equal opportunities employer we are committed to building an equal and inclusive team. If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.
Please note that when you submit an application, your data will be processed in line with our privacy policy.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Biochemistry Bioinformatics Biology Chemistry Data quality Drug discovery Engineering KNIME Machine Learning Pharma PhD Privacy Python Research SQL
Perks/benefits: Career development
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