Bioinformatics Engineering Lead
Description For Bioinformatics Engineering Lead
Isomorphic Labs, a new Alphabet company, is revolutionizing drug discovery through AI and computational approaches. As a Bioinformatics Engineering Lead, you'll spearhead a small team in building a groundbreaking ML-based software platform for drug discovery. This hands-on leadership role involves designing and developing bioinformatics pipelines, performing data analysis, and contributing to the wider development of Iso's data and computational platform. You'll collaborate with diverse teams, including Computational Biology, ML research, and business development, to drive innovation in the biopharmaceutical world. The ideal candidate has proven leadership experience in bioinformatics, strong programming skills, and expertise in working with large biological datasets. This role offers the opportunity to make a transformative impact on drug discovery, working at the cutting edge of 'digital biology' in a collaborative, entrepreneurial culture. Join us in our mission to accelerate drug discovery, increase efficacy, and lower costs for the benefit of millions.
Responsibilities For Bioinformatics Engineering Lead
- 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
Requirements For Bioinformatics Engineering Lead
- 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
Benefits For Bioinformatics Engineering Lead
- Opportunity to work on cutting-edge AI and computational biology projects
- Collaborative and entrepreneurial culture
- Chance to make a transformative social impact in drug discovery
