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Senior Bioinformatics Specialist

2 months ago


London, Greater London, United Kingdom The Francis Crick Institute Full time
About the Role

We are seeking a highly skilled and experienced Senior Bioinformatician to join our Bioinformatics and Biostatistics team at The Francis Crick Institute.

Key Responsibilities
  • Collaborate with researchers to design experiments, formulate analysis plans, and interpret results.
  • Perform advanced analyses of high-dimensional, data-intensive, and complex research questions using bioinformatics, biostatistics, machine learning, and AI approaches.
  • Develop and deploy innovative analysis pipelines to solve complex analysis questions.
  • Provide bioinformatics expertise to help scientists achieve their research objectives.
  • Analyse complex biomedical data using a wide range of biological resources and bioinformatic methods.
  • Interpret, evaluate, and apply novel analysis approaches to build bespoke analysis pipelines.
  • Support and develop group project management and reporting procedures.
  • Continuously develop expertise through maintaining awareness of developments in the wider bioinformatics and research communities.
Requirements
  • A degree in a relevant subject with an extensive analytical component, such as bioinformatics, statistics, molecular biology, or mathematics.
  • Significant experience with varied types of high-throughput sequencing data and analysis.
  • Experience applying bioinformatics to multiple concurrent projects in a collaborative biological research environment.
  • Excellent scientific analysis skills.
  • Significant experience in R or Python with a track record of developing programs and scripts conforming to common coding standards.
  • Experience in applying expertise to the experimental and analysis design process.
  • The ability to work independently at all aspects of the analysis project workflow.
  • The ability to organise and prioritise workload within a project management framework.
  • Knowledge of molecular and cellular biology.
  • Excellent scientific communication skills within a research environment.
  • Familiarity with the application of statistical techniques to biological data.
  • Excellent computational skills applied to HPC, big data, software development, and web technologies.
  • Knowledge of Unix and HPC batch scheduling systems.
  • Experience in building and deploying pipelines for data science.
  • Understanding of software development processes and management.
  • Knowledge of other research areas relevant to Crick research.
  • Experience in teaching bioinformatics.
What We Offer

The Francis Crick Institute is committed to creating equality of opportunity and promoting diversity and inclusivity. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth.