Senior Bioinformatician - Bioinformatics & Biostatistics
This is a full-time permanent position on Crick terms and conditions of employment.
The Francis Crick Institute seeks to recruit a collaborative and self-motivated Senior Bioinformatician with extensive experience analysing biological data in a research environment. In this position, you will be working within a talented and dynamic bioinformatics team where you can apply your bioinformatics skills to technology-driven research questions across the broad range of human health research activities found at the Crick. The successful applicant will have a proven track record in collaborative academic research, including statistical analysis and interpretation of large, complex datasets. You should possess an MSc with experience or a PhD in bioinformatics or molecular biology-based research with a large computational component. Significant experience across a range of high-throughput sequencing methods and common analysis workflows is necessary.
In this role, you will collaborate with Francis Crick scientists to analyse data from the latest, cutting edge genomic sequencing technologies. You will work closely with the scientific groups to generate, interpret and explain analysis results to help drive forward discovery. You will have the opportunity to input on the experimental and analysis design process, build bespoke analysis pipelines using the latest analysis methods, publish work in collaboration with the scientific groups and help develop others through mentoring.
- Provide bioinformatics expertise to help Francis Crick scientists achieve their research objectives.
- Provide expertise to inform on the experimental and analysis design process.
- Analyse complex genomic data, using a wide range of biological resources and bioinformatic methods to deliver on complex bespoke analysis goals.
- Interpret, evaluate and apply novel analysis approaches to build bespoke analysis pipelines to solve analysis questions.
- Apply analysis expertise to help scientists interpret results and make research decisions.
- Work independently at all points of the data analysis workflow.
- Help to develop others by mentoring and sharing expertise and experience.
- Help to support and develop group project management and reporting procedures.
- Continue professional development through maintaining awareness of developments in the wider bioinformatics and research communities.
- Participate and contribute to Crick meetings, workshops and seminars.
- Publish where appropriate.
Key experience and competencies
The post holder should embody and demonstrate our core Crick values: bold, imaginative, open, dynamic and collegial, in addition to the following:
Essential Qualifications, experience and competencies:
- A degree in a relevant subject with an extensive analytical component e.g. bioinformatics, statistics, molecular biology or mathematics.
- Significant experience with varied types of high-throughput sequencing data and analysis.
- A good understanding and experience of working with multiple sequencing applications.
- Experience applying bioinformatics to multiple concurrent projects in a collaborative biological research environment to provide publication-quality analysis results to researchers
- 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.
- Experience in mentoring and sharing expertise with others.
- 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, building highly effective working relationships with the team and customers.
Desirable Qualifications, experience and competencies:
- 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 (e.g. SLURM)
- Experience in building and deploying pipelines (e.g. Nextflow) for data science
- Understanding of software development processes and management.
- Experience with long-read sequencing (e.g. Nanopore) and data analysis
- Knowledge of other research areas relevant to Crick research.
- Experience in teaching bioinformatics.