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Senior Synthetic Biologist
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ADLIB London, United KingdomLogin to bookmark this Job · **Senior Synthetic Biologist**: · **Key role in a growing start-up**: · - Location **London** · - Type **Permanent** · - Salary **Up to £60000** · - Great role for a Fungi expert working on bio-based products. · - Innovative well-funded scale-up. · - ...
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Senior Marine Biologist
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Rambøll London, United KingdomLondon, Exeter, Corsham, Southampton, Cardiff - with an expectation that occasional site work and office work in other Ramboll UK offices will be required._ · If this sounds like you, or you're curious to learn more, then this role could be the perfect opportunity. Join our Ecosy ...
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Senior Computational Biologist
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Senior Biologist
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Senior Marine Biologist
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Commercialisation Lead
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Teacher of Biology
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ML/AI Data Scientist
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Assistant Research Associate
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Bioinformatics Scientist
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Lead Growth Product Manager
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Project Manager
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Emerging Leader Research Fellow
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Senior Environmental Data Scientist
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Ocean OS England, United KingdomJob Title: Senior Environmental Data Scientist (Marine Biologist) · Classification: Full-time · Start ASAP · Location: Remote, London preferred · OceanOS is at the forefront of a transformative wave in environmental monitoring, particularly focused on marine and coastal ecosys ...
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Senior Environmental Data Scientist
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Senior Compensation Lead
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Senior Compensation Lead
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Controls and Robotics Engineer
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Graduate Engineering Analyst
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AI Data Scientist
1 week ago
Dewpoint Therapeutics London, United KingdomJob Description Dewpoint Therapeutics translates condensate biology into much-needed medicines. Biomolecular condensates are transforming our understanding of biology, and our highly collaborative team is at the forefront of efforts to harness this shift for drug discovery. Toget ...
Senior Biologist - England, United Kingdom - Ochre Bio
Description
Summary We are looking for a talented and highly motivated (Senior) Computational Biologist to join Ochre Bio's In Silico Biology team on an exciting journey to support the development of advanced RNA medicines for one of the most pressing healthcare challenges of our time.
The role will support discovery and validation data analysis within a functional genomics and imaging team, with a sharp focus on generating novel target recommendations, validating them in models (including actual human livers), and translating them into RNA therapeutics for chronic liver disease.
This role will be based at Oxford Science Park. UK remote work is possible, with site visits.Be a key part of the 'discovery' squad within the In Silico Biology Team, and drive the next phase of Ochre's discovery programme.
Develop and contribute to approaches for interrogating NGS data, including single-cell RNA-seq data, spatial transcriptomics data, bulk RNA-seq data to evaluate effects of gene perturbation on cell modelsInvolvement in experimental design & modelling of deep phenotyping or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional teams bringing together best-in-class Drug Discovery, Drug Development, Product & Project Management capabilities.
Routinely use Python/R for data analyses, in particular data wrangling, modelling, and visualisation. Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows.
Maintain progress in personal and professional development to better domain, technical, and professional skills.
Present research updates to project teams and to the management team.
Contribute to training initiatives to foster a data-driven culture
PhD in Computational Biology / Computer Science / Machine Learning / Statistics with relevant experience in transcriptomics analysis.
Experience with experimental design, exploratory data analysis, reporting and visualisation of data.
Experience with single cell transcriptomics analysis including data QC, data integration, cell type annotation, differential expression/abundance and pathway analysis.
Experience with regulatory genomics (for instance lncRNAs)Experience in building and deploying pipelines (e.g. Nextflow) for data science
Deep understanding of human biology beyond the statistical/ML models being developed
Good knowledge with rapidly prototyping, writing and maintaining Python and/or R code, harnessing statistical tools for biological interpretations.
Familiarity with cloud computing (AWS)
Familiarity with Perturb-Seq analyses
Familiarity with spatial transcriptomic analyses
Familiarity with project management tools (Smartsheet/ ClickUp / JIRA)
