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 to enhance the core service, and closely with the lab of David Bauer to provide work at the interface of molecular biology of pathogens, clinical bioscience, and computational biology. 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 PhD in bioinformatics or genetics/pathogen biology with a large computational component. Significant experience across a range of high-throughput sequencing methods and common analysis workflows is necessary. Prior experience working within a wet lab environment would be highly valued.
In this flexible role, you will collaborate with Francis Crick scientists to analyse data from the latest genomic sequencing technologies. You will work closely with the scientific groups to interpret and explain analysis results and help inform on research decisions. You will have the opportunity to build bespoke analysis pipelines using the latest analysis methods, have an input on the experimental and analysis design process and help to develop others in the group through mentoring. Within the Bauer lab, you will have the opportunity to become deeply embedded in the research activities of this lab working at the cutting edge of computational virology with genuine societal impact. We anticipate the successful applicant to spend 50 % of their time on each core service delivery and focused work with the Bauer lab.
- 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.
- 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 and Python with a track record of developing programs and scripts conforming to common coding standards.
- A good understanding and experience of working with multiple sequencing applications.
- 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 team and customers.
Desirable Qualifications, experience and competencies:
- Familiarity with the application of statistical techniques to biological data.
- Familiarity with structure-probing sequencing applications (e.g. SHAPE-seq, SPLASH) or related methodologies
- 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 pathogen biology and phylogenetic methods
- Knowledge of other research areas relevant to Crick research.
- Experience in teaching bioinformatics.