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About the Role
We are looking for a talented and motivated Bioinformatician to join our multidisciplinary team as part of a five-year ERC Synergy-funded research programme. You will work with scientists across the project to analyse and integrate complex genomic, transcriptomic and epigenetic datasets. This role offers the opportunity to influence experimental design, identify patterns within large datasets, and translate computational findings into new biological hypotheses.
Responsibilities
- Analysing and integrating large-scale genomic and multi-omic datasets
- Working with bulk and single-cell RNA-seq, ATAC-seq, ChIP-seq, methylome and proteomic data
- Developing computational approaches and algorithms to answer complex biological questions
- Identifying patterns and signatures within datasets and translating these into meaningful biological insights
- Working with scientists to inform experimental design and data interpretation
- Developing and maintaining bioinformatics tools, software and databases
- Ensuring data quality and integrity throughout the analysis process
- Communicating findings through project discussions, presentations, reports and publications
- Keeping up to date with emerging approaches and technologies across bioinformatics
Requirements
- A degree in Bioinformatics, Computer Science or a related discipline, alongside a scientific background
- Strong programming skills using languages such as Python, R, Java, C/C++ or Perl
- Experience applying statistical methods to biological data
- Hands-on experience analysing next-generation sequencing, single-cell RNA-seq and ATAC-seq data
- Experience working with and developing software within UNIX/Linux environments
- Experience with databases and data management
- A strong understanding of bioinformatics approaches within genomics and transcriptomics
- Experience analysing and integrating complex biological datasets
- The ability to interpret scientific literature and apply this to research projects
- Strong communication skills and the ability to explain findings to both technical and non-technical audiences
- A collaborative approach and enthusiasm for working closely with experimental scientists
- Experience or knowledge of molecular biology, genetics and related biological fields would be advantageous
Skills
- Python
- R
- Java
- C/C++
- Perl
- Bioinformatics
- Genomics
- Transcriptomics
- Next-generation sequencing
- Single-cell RNA-seq
- ATAC-seq
- UNIX/Linux
- Databases
- Data management
- Statistical methods
- Molecular biology
- Genetics
Location
- Onsite
Work Type
- Full-time
- Fixed term (5 years)
Experience Level
- Subject to skills and experience
Education Level
- Degree in Bioinformatics, Computer Science or a related discipline
Salary/Compensations
- From £49,790
Benefits
- 28 days of annual leave, plus three additional days over Christmas and bank holidays
- Defined contribution pension with employer contributions of up to 16%
- 24/7 GP consultation services
- Occupational health services and mental health support programs
- Eye care vouchers and discounted healthcare plans
- Back-up care for dependents
- Childcare support allowance
- Annual leave purchase options
- Crick Networks offering diverse groups’ support, community and inclusive social events
- Discounted gym memberships
- Bike-to-work scheme
- Shopping discounts
- Subsidised on-site restaurant and social spaces
About the Company
- The Francis Crick Institute is Europe’s largest biomedical research institute under one roof, where world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.
- The Crick is a place for collaboration, innovation and exploration across many disciplines, supporting researchers in a dynamic environment with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture.
- The Tumour Host Interaction Lab, led by Professor Ilaria Malanchi, investigates how cancer cells interact with surrounding tissues and distant organs to create environments that support tumour growth, metastasis and treatment resistance.
- Our research explores the relationship between cancer, ageing, inflammation and tissue regeneration, combining sophisticated experimental models with genomic and multi-omic approaches to uncover the mechanisms driving disease.
Equal Opportunity
- At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances.
- We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences.
- We are a Disability Confident: Committed employer and want to ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them - just let us know when you apply.
- If you need assistance with applying (i.e., would like to apply by phone or post) please email: ruby.oluwafemi@crick.ac.uk.