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Job Description & How to Apply Below
Required
Knowledge, Skills and Abilities:
PhD in computer science/computational biology/AI/ML/Statistics/Mathematics with 5+ years of post-doctoral and/or industry experience in R&D genomics/bioinformatics and/or driving innovation projects.
Excellent track record of publications in peer reviewed journals with high impact factor.
Extensive hands-on experience with analysis and interpretation of genomics /multi-omics/single cell data/metagenomics .
Deep understanding of factors important to NGS data analysis, experiments, protocols, QCs and troubleshooting tools, analyses and code .
Hands-on experience in programming in one of the scripting languages .
Understanding of knowledge bases, tools and databases related to NGS and multi-omics data analysis.
Experience in clinical diagnostics products/solutions/studies will be a big plus.
Strategic mindset with ability to identify and implement new solutions.
Demonstrated success mentoring staff and building scientific teams.
Responsibilities:
You will work in close alignment with other R&D and/or production team members as subject matter experts and are responsible for:
Advising clinical development teams on opportunities and limitations of the assay/method/experiment.
You will continuously evaluate or develop, implement, and promote innovative bioinformatics/data science methodologies, approaches, and tools to be applied in our clinical development programes.
You will be responsible for a quick working prototype of an idea/project/analysis.
You will analyze and interpret challenging clinical and non-clinical data, identify problems, and find solutions.
You will collaborate with our scientific and commercial teams to evaluate the feasibility and desirability of the new projects.
Build and understand clinical and non-clinical bioinformatics pipelines/ software/ algorithms/databases.
Perform complex data analyses independently, as well as part of a wider project group.
Provide high-level scientific expertise for new and ongoing research projects, contributing to all phases of a project.
Analyze and interpret challenging clinical and non-clinical data, identify problems, and find solutions.
Collaborate with our scientific and commercial teams to evaluate the feasibility and desirability of the new projects.
Keep up to date with best practices and latest developments in bioinformatics data analysis.
Produce high quality and detailed documentation for all projects in a structured manner.
Position Requirements
10+ Years
work experience
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