Head of Data, 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 

As the Head of Data reporting to the CTO, you will be responsible for the company’s data assets and data strategy, including data procurement and generation, as well as data lifecycle and data management processes to ensure that Isomorphic Labs has access to and rigorously protects business-critical datasets and can generate the most value from this data. As part of this role you will build the world’s most comprehensive and high quality life science dataset for machine learning for drug discovery. You will collaborate closely with other senior leaders in the organisation, including heads of Data Engineering, Machine Learning Research, Product, Computational Biology, Drug Discovery, Business Development, Information Security, Legal and others.

Your responsibilities

  • Develop, implement and monitor a comprehensive data strategy that aligns with the company's goals and positions data as a strategic asset and business tool.
  • Procure data relevant for machine learning model development and other scientific analysis purposes, including public and commercial datasets, experimental data generation, and strategic data partnerships with other industry players and academic consortia.
  • Liaise with a wide network of external data providers to gather data.
  • Partner with other team members to define the data lifecycle and data management standard methodologies.
  • Partner with ML Research and Engineering to advise data management and analysis infrastructure development.
  • Define internal data structures, representations and ontologies across a wide variety of life science and medical research datasets, including chemical structures, SAR, reactions, molecular dynamics, -omics, imaging, and clinical data.
  • Lead data curation and data quality assurance processes and ensuring that the company’s data is adequately integrated and usable for machine learning purposes.

Your skills and qualifications 

Essential

  • PhD in Chemistry, Biology, Statistics, Computer Science or equivalent professional experience
  • Extensive understanding of life science experimental data generation techniques and common assays used in research and drug discovery including spectroscopy, spectrometry, crystallography, microscopy, binding, ADME, cytotoxicity, and phenotypic assays, NGS, immunohistochemistry, RNA-seq, cell-based assays.
  • Experience with a variety of life science data types and ontologies including -omics, imaging, and clinical data, representations of biomolecules and chemical reactions, Gene Ontology, Disease Ontology, SNOMED, CHEMINF
  • Experience working with external life science databases and biobanks such as NCBI, Cosmic, ClinVar, UK Biobank, TCGA, dbSNP, OMIM, gnomAD, GDC, PDB, ChEMBL. 
  • Experience managing a large scale data coordination centre, data repository, or biobank.
  • Experience performing comprehensive data curation and data quality assurance.
  • Experience managing external data vendors, Contract Research Organisations, and working within scientific consortia.
  • Strong internal and external stakeholder management skills with demonstrated ability to integrate and align a variety of complex opinions and work through influence to achieve ambitious scientific and organisational outcomes.
  • Strategic planning and roadmap development. 

Nice to have

  • Understanding of Machine Learning and software engineering principles and standard methodologies.
  • Experience leading teams of data curators and data analysts.
  • Understanding of statistical analysis, design of experiments, and data visualisation. 
  • Detailed understanding of drug discovery, pharma, and medical research.


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.

In this 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.


>> Click to view other open roles at Isomorphic Labs

Apply for this Job

* Required
resume chosen  
Dropbox Google Drive
(File types: pdf, doc, docx, txt, rtf)
Cancel
cover_letter chosen  
Dropbox Google Drive
(File types: pdf, doc, docx, txt, rtf)
Cancel
Demographic Questions - UK & CH

We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are working to build teams that reflect and represent the populations we are striving to serve. As part of this effort we would like to better understand our candidate audience, so that we can continue to improve.

We need your help to do this, but filling in this form is entirely voluntary. You may choose not to provide the requested demographic information. Whether you choose to provide the information or not, this will be kept separate from your application and will have no bearing on any hiring decision.

Any demographic information you provide will be anonymised and held separately from your application. No Isomorphic Labs hiring decision makers will have access to this information and the information will only be used for aggregated reporting and monitoring purposes, not for the purposes of your application or making any hiring decisions. You can find more information about how we process diversity and demographic information in our Applicant and Candidate Privacy Notice.

If you have any questions about the form contact us: joinus@isomorphiclabs.com.

What gender do you identify as? (Select one)






Is the gender you identify with the same as your gender registered at birth? (Select one)



What is your ethnicity? (Ethnic origin is not about nationality, place of birth or citizenship. It is about the group to which you perceive you belong.) (Select one)







What is your sexual orientation? (Select one)









Our system has flagged this application as potentially being associated with bot traffic. Please turn off any VPNs, clear your browser cache and cookies, or try submitting your application in a different browser. If this issue persists, please reach out to our support team via our help center.
Please complete the reCAPTCHA above.