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Senior Biostatistician

2 months ago

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

We are seeking a highly experienced and technically excellent Senior Biostatistician to join our Bioinformatics & Biostatistics Scientific Technology Platform (STP) at The Francis Crick Institute.

Key Responsibilities
  • Provide statistical expertise to help Francis Crick scientists achieve their research objectives.
  • Lead collaborative statistical analysis projects involving multiple statisticians, bioinformaticians, and researchers.
  • Provide leadership within the group in line with core Crick values to help achieve group and institute objectives.
  • Take on specific group responsibilities in analysis development, project management, and staff development.
  • Provide support to group management in managing projects and developing the group.
  • Line management of some members of the Bioinformatics and Biostatistics STP as required, including assisting and independently performing PDRs.
  • Work with Crick researchers to design experiments, formulate analysis plans, and inform on research decisions.
  • Play a role in developing statistical capabilities and understanding across the Institute regarding awareness, analysis approaches, software, and training.
  • Support the statistical training and development of statisticians and bioinformaticians within and outside of the group.
  • Continue professional development through maintaining awareness of developments in the bioinformatics and research communities.
  • Participate in group meetings, workshops, and seminars internal and external to the Institute.
Requirements
  • A degree in a relevant subject with an extensive mathematical component.
  • Excellent scientific analysis skills.
  • Extensive experience in successfully running and managing multiple statistical analysis projects to solve complex data analysis problems in a collaborative biological research environment.
  • Expert-level statistical programming skills in R or another language relevant to the role.
  • A deep technical understanding of statistical analysis approaches applied to biological research data and experimental design.
  • An excellent understanding and experience of several modern sequencing applications.
  • Experience in applying expertise to the experimental and analysis design process.
  • The ability to mentor and develop statisticians and bioinformaticians at all stages of the analysis project workflow.
  • Extensive experience interacting with research leads to help solve and develop research questions.
  • A proven publication record or similar.
  • Excellent communication skills within a research environment, building highly effective working relationships with the team and scientists.
Desirable Qualifications
  • An understanding of programming, particularly regarding big data, data visualization, and data-mining techniques within a genomic setting.
  • Knowledge of research areas relevant to Crick research.
  • Experience in software development processes and management.
  • Experience in teaching statistics.