Bioinformatics Engineering Lead

3 weeks ago

London, United Kingdom Isomorphic Labs Limited Full time

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 Essential
  • 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
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