Bioinformatics Engineer

Bioinformatics Engineer, Lausanne or LondonWe are looking for a bioinformatics engineer 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.

What you will do

• Work with other engineers and scientists to build Isos platform, applying AI to biological systems.
• Design, develop and maintain large-scale 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 Isos data and computational platform, working with other engineers to architect, build and operate the platforms components.
• Work with other members of the data engineering team to ensure the quality, integrity and scalability 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 organisation.

Skills and qualifications Essential

• Experience in bioinformatics, with a focus on data engineering and pipeline development
• Experience building scalable systems for the ingestion and preparation of large scale datasets
• 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

Nice to have

• 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 visualisation

Lifelancer ( https://lifelancer.com ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science and IT domains.

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