Bioinformatics Engineering LeadIsomorphic Labs

London 13-12-2023

Bioinformatics Engineering Lead, Lausanne or London

We are looking for a Bioinformatics Engineering lead to join our Data Engineering team.

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 for you to work on a greenfield ML-based software platform and ambitious Computational Biology research programme that will transform the biopharmaceutical world as we know it.  

Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving this transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution. This is a hands-on engineering leadership position, where you’ll contribute directly to the technical work and be responsible for leading a small team of bioinformatics engineers.

What you will do

  • Lead a small team of bioinformaticians and software engineers: provide technical guidance, own the team’s roadmap, contribute to hiring and goals setting, ensure project success.
  • Work with other engineers and scientists to build Iso’s platform, applying AI to biological systems.
  • Design, develop, optimise and maintain bioinformatics pipelines for the ingestion, management and analysis of biological datasets, especially -omics, imaging, and clinical data.
  • Perform data analysis and data quality assurance according to best practices
  • Design and develop representations, models and computational modules for biological data, optimised for AI research and production.
  • Contribute to the wider development of Iso’s data and computational platform, working with other engineers to architect, build and operate the platform’s components.
  • Work with other members of the data engineering team to ensure the quality and integrity of data and pipelines.
  • Partner and collaborate with a diverse set of teams including Computational Biology, ML research, product, business development and operations.
  • Provide documentation, guidance and communication on bioinformatics to the wider organisation.

Skills and qualifications 


  • Proven leadership experience, with a track record of successfully leading bioinformatics teams and delivering high-impact projects.
  • Extensive experience in bioinformatics, with a focus on hands-on data engineering and pipeline development
  • Strong knowledge of bioinformatics tools and methodologies and familiarity with the analysis of large biological datasets such as -omics, imaging and clinical data
  • Experience working with common bioinformatics datasets and data repositories such as - NCBI, Cosmic, ClinVar, UK Biobank, TCGA, dbSNP, OMIM
  • Strong programming and software engineering skills in a language such as Python, Java, Scala, C/C++ or Go
  • Knowledge of data management tools and technologies including ETL frameworks, database engines, and file and object stores
  • Experience architecting and building scalable data systems in a cloud computing environment
  • Demonstrate ongoing career progression / trajectory and a passion for learning
  • Either a MSc degree in Bioinformatics, Computational Biology, Computer Science, a related technical field, or equivalent practical experience

Nice to have

  • A PhD in Bioinformatics, Computational Biology, Computer Science or a related field
  • Exposure to machine learning and experience building machine learning systems
  • Experience working with life science ontologies
  • Exposure to data curation
  • Experience with data governance and data lifecycle management
  • Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery
  • Experience building, deploying and maintaining production systems on Google Compute Platform
  • Strong experience in Python
  • Experience in statistical analysis and data visualisation

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 at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.

Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.

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 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).  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.

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