Senior / Principal Statistician - Bioinformatics & Biostatistics

The Francis Crick Institute, City of Westminster

Senior / Principal Statistician - Bioinformatics & Biostatistics

Salary not available. View on company website.

The Francis Crick Institute, City of Westminster

  • Full time
  • Permanent
  • Remote working

Posted today, 24 Dec | Get your application in now to be one of the first to apply.

Closing date: Closing date not specified

job Ref: 1585a3c3017b4b5cbf02f9826a2b14e5

Full Job Description

In this position, you will play a key role in providing Francis Crick research groups with access to statistical expertise. You will work closely with the scientific groups to design experiments, explore and analyse complex data sets, formulate analysis strategies, implement statistical approaches, interpret and explain analysis results and help inform research decisions. You will build bespoke statistical analysis pipelines using the latest methods to help deliver results. In addition, you will have the opportunity to develop others through mentoring.

The Bioinformatics & Biostatistics STP is a centre of excellence in Data Science that leverages its knowledge to facilitate discovery across the Crick and extract biological meaning from large, complex and diverse datasets.

Work collaboratively across the Crick to co-design experiments, formulate analysis plans and interpret results.

Perform standard and advanced analyses of high-dimensional, data-intensive and complex research questions across the biomedical research spectrum using bioinformatics, biostatistics, machine learning and AI approaches.

Empower biologists to understand their datasets, using our broad training portfolio to enable data curiosity and develop analytical skills.

Design innovative approaches for recurrent and novel projects, and deploy corresponding tools internally, across the Crick and beyond.

You will apply your biostatistics skills to technology-driven research questions across the broad range of biomedical research activities found at the Crick. The successful applicants will have a proven track record in collaborative academic research, including statistical analysis and interpretation of large, complex datasets. You should possess a PhD with significant experience in bioinformatics, mathematics, or statistics biomedical-based research with a large computational component.