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Data Analyst
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We are seeking a highly experienced and technically excellent Principal Statistician 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.
- 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.
- 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.
- Excellent communication skills within a research environment, building highly effective working relationships with the team and scientists.
- 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.
The Francis Crick Institute is committed to creating equality of opportunity and promoting diversity and inclusivity. We all share in the responsibility to actively promote dignity, respect, inclusivity, and equal treatment, and it is our aim to ensure that these principles are reflected and implemented in all strategies, policies, and practices.