Software Engineering Team Manager

1 month 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.
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.
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 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.
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.
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.
Provide documentation, guidance and communication on bioinformatics to the wider organisation.
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
A PhD in Bioinformatics, Computational Biology, Computer Science or a related field
Exposure to machine learning and experience building machine learning systems
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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