The Francis Crick Institute

Bioinformatics Officer

The Francis Crick Institute

London, United Kingdom

Bioinformatics Officer –
Quantitative Cell Biology Laboratory

Reports to: Aengus Stewart, Head of Bioinformatics and Biostatistics

This is a fixed-term position on Crick Terms and Conditions of Employment.

Salary: Competitive with benefits, subject to skills & experience

OVERVIEW

We are looking for a highly motivated Bioinformatician to investigate control principles in decision-making and fate-choice during early development. This exciting opportunity is a joint collaboration between the Quantitative Cell Biology laboratory headed by Dr Silvia Santos and the Bioinformatics and Biostatistics Core Facility (BABS) at the Francis Crick Institute. The Santos lab focuses on understanding control principles in cell decision-making. Current areas of research include understanding control of cell division and cellular differentiation, using human embryonic stem cells as a model system. There is a strong focus on single cell approaches including scRNAseq and live cell imaging. BABS is a team of 14 bioinformaticians and mathematicians that supports a multitude of projects at the Francis Crick Institute.
For more information visit https://www.crick.ac.uk/research/labs/silvia-santos.
The successful candidate should have a higher degree in Bioinformatics, Computational Biology, Applied Maths or other areas relevant to Systems/Quantitative Biology. Prior experience in performing high-throughput data analysis and demonstratable proficiency in a higher programming language is essential. General knowledge of Biology and experience with analysis of sequencing data will be an asset. The ideal candidate is an individual who thrives working on interesting biological problems in a collegial and collaborative work environment.
The post holder is expected to drive her/his own research project and develop and implement algorithms, analysis methods and visualisation tools for dissecting high throughput post-genomic technologies, including scRNAseq, ChIPseq, ATACseq, RNAseq based datasets. The post-holder will benefit from further training, excellent support and expertise from BABS.

PROJECT SUMMARY

The successful candidate will be supporting research uncovering mechanisms for fate choices during early development using human embryonic stem cell datasets. The switch between pluripotency and differentiation in these cells has been the Santos’ lab paradigm of choice to understand how protein and gene networks decode cellular signals and thereby encode irreversible commitment to different cell fates. The molecular basis of these decisions is of fundamental biological importance and have significant clinical applications.

Using a variety of programming, statistical and data analysis techniques the post holder will analyse data produced by the latest high throughput genomic technologies. Typical analysis steps will cycle through quality assessment, results generation, biological interpretation and ultimately publication. During this process the successful candidate will be expected to work closely with other members of the Quantitative Cell Biology lab and wih BABS.

KEY RESPONSIBILITIES

These include but not limited to:

• Lead specific research projects
• Provide expert analysis of high-throughput genomic data, using a wide range of biological resources and bioinformatic methods;
• Develop methodologies to visualize datasets with these technologies;
• Participate in collaborative projects and support ongoing projects in the lab;
• Continue professional development through maintaining awareness of developments in the wider bioinformatics and research communities;
• Participate and contribute to lab meetings and Crick seminars;
• Contribute to the preparation of scientific manuscripts.

ABOUT US

The Francis Crick Institute is a biomedical discovery institute dedicated to understanding the fundamental biology underlying health and disease. Its work is helping to understand why disease develops and to translate discoveries into new ways to prevent, diagnose and treat illnesses such as cancer, heart disease, stroke, infections, and neurodegenerative diseases.
An independent organisation, its founding partners are the Medical Research Council (MRC), Cancer Research UK, Wellcome, UCL (University College London), Imperial College London and King’s College London.
The Crick was formed in 2015, and in 2016 it moved into a brand new state-of-the-art building in central London which brings together 1500 scientists and support staff working collaboratively across disciplines, making it the biggest biomedical research facility under a single roof in Europe.
The Francis Crick Institute will be world-class with a strong national role. Its distinctive vision for excellence includes commitments to collaboration; to developing emerging talent and exporting it the rest of the UK; to public engagement; and to helping turn discoveries into treatments as quickly as possible to improve lives and strengthen the economy.

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:

Knowledge
• Higher degree in a relevant subject with an extensive analytical component e.g. bioinformatics, statistics, molecular biology or mathematics or other areas relevant to Systems/Quantitative Biology;
• An understanding of programming, particularly with regard to big data, data visualisation and data-mining techniques within a genomic or genetical environment;
• Familiarity with the application of statistical techniques to biological data;
• A basic knowledge of Molecular Biology;
• A broad comprehension of high throughput genomic technologies.
Experience
• Prior experience in bioinformatics or related biological field;
• Demonstrable experience of programming in a higher level language (R/C/C++/Perl/Python);
• Denonstrable experience of NGS analysis methodologies and protocols will be an asset.

Skills and Competencies
• Proven ability in programming;
• Works well individually and as part of a team, organising and prioritising own workload;
• Excellent communication skills within a research environment, building highly effective working relationships with team;
• Excellent scientific analysis skills.

Please note: all offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom.

Please apply via recruiter’s website.