Scientist Student Placement

1 month ago

London, United Kingdom Isomorphic Labs Limited Full time

Research Scientist (Computational Biology), London
Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.
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 contribute to an ambitious Computational Biology research programme, working in partnership with leading ML researchers, Chemists and Biological Scientists. Building on the successful models in place to predict protein structure (AlphaFold-latest), there is an unique opportunity for an applied Research Scientist to have a direct impact on drug discovery, using innovative Computational Biology approaches. Partner with Isomorphic Labs Drug Discovery teams and wider organisation, to use pioneering Computational Biology methods to drive data enabled drug development
Develop and apply Computational Biology workflows to address common drug development research questions, spanning from target identification to clinical biomarker strategies
Use your shown experience of computational biology datasets, spanning statistical genetics, genomics, transcriptomics, proteomics, functional perturbation screens, imaging, knowledge graphs, PPI, clinical and other data types, to devise relevant computational experiments
Use data to drive biological insights and contribute to drug discovery programmes, becoming an integral member of project teams
Work in partnership with the Computational Biology research team members to evaluate experimental models under development and benchmark to existing methodologies
Work with Bioinformatics, Data and other groups to influence Iso’s datasets and pipelines strategy, ensuring innovative insights are consistently brought to bear within drug development programmes
Perform thorough data analysis and data quality assurance checks, with a strong focus on accuracy and reproducibility, inline with industry standard processes.
Work with other members of the Computational Biology team to deliver a unified team strategy
Provide documentation, guidance and communication on computational biology to the wider organisation.
Experience in computational biology, with PhD and/or extensive experience
Expertise with detailed data quality control procedures and data visualisation
Solid experience with experimental design and statistical analysis
Solid understanding of computational biology tools and methodologies and experience with the analysis of large -omics datasets
Demonstrated understanding of the principles of molecular cell biology and genetics, or related biological disciplines
Familiarity with data processing pipelines and tools
Ability to effectively communicate scientific concepts to a variety of audiences
Programming skills in a language such as Python (ideally), or R
Experience using common database platforms (e.g. BigQuery), and data integration approaches
Demonstrate ongoing career progression / trajectory and a passion for learning
Post PhD research experience (i.e. some postdoctoral or industry experience)
Familiarity with a variety of assaying techniques, including NGS, cell-based assays, functional genomics, single-cell techniques, and image-based assays with expertise in their respective data analysis approaches
Experience working with clinical data
Expertise in applying computational biology methods to the process of drug discovery, such as methods used for disease modelling and target discovery, combination strategies, as well as biomarker development.
Experience applying computational biology workflows on GCP
Strong experience in Python
Hands-on experience in applying ML (especially deep learning) models in the field of computational biology.
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