• Work with other engineers and scientists to build Iso’s platform, applying AI to biological systems.

• Design, develop 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, optimizer 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 incl. Computational Biology, ML research, product, business development and operations.

• Provide documentation, guidance and communication on bioinformatics to the wider organization.

• Experience in bioinformatics, with a focus 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

• 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

• Some exposure to cloud environments

• Demonstrate ongoing career progression / trajectory and a passion for learning

• Either a BSc/MSc degree in Bioinformatics, Computer Science, a related technical field, or equivalent practical experience

• A PhD in Bioinformatics, 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 GCP

• Strong experience in Python

• Experience in statistical analysis and data visualization