Location
Cambridge, Cambridgeshire | United Kingdom
Job description
We are seeking a highly skilled and experienced Senior Bioinformatician to join our client’s dynamic research team. As a Senior Bioinformatician, you will play a crucial role in analysing and interpreting complex biological datasets, primarily Next-Generation Sequencing (NGS) data. You will collaborate closely with multidisciplinary teams, including biologists, geneticists, and computational scientists, to drive cutting-edge genomics research and contribute to the development of novel bioinformatics pipelines and tools. The successful candidate will have a minimum of 4 years of relevant experience and a strong background in NGS data analysis.
Responsibilities:
- Perform complex data analysis on NGS datasets, including but not limited to genomics, transcriptomics, and epigenomics
- Develop and implement bioinformatics pipelines for data processing, quality control, alignment, variant calling, and annotation
- Design and execute statistical analyses and data visualization to identify patterns, trends, and biological insights
- Collaborate with researchers to understand project objectives, provide guidance on experimental design, and interpret analysis results
- Stay up to date with the latest advancements in bioinformatics, genomics, and computational biology, and apply relevant methodologies and tools
- Contribute to the development and optimization of bioinformatics software and tools to enhance data processing, analysis, and interpretation
- Lead and mentor junior team members, providing technical guidance and support
- Collaborate with external partners and stakeholders on collaborative research projects
- Participate in the preparation of scientific publications, reports, and grant proposals
Requirements:
- Minimum of 4 years of professional experience as a Bioinformatician, with a focus on NGS data analysis
- Strong proficiency in bioinformatics tools, programming languages (e.g., Python, R, Perl), and relevant software packages (e.g., BWA, GATK, SAMtools)
- Extensive knowledge of genomics, transcriptomics, and/or epigenomics data analysis.
- Demonstrated experience in statistical analysis, data visualization, and interpretation of large-scale biological datasets
- Solid understanding of biological databases, genome annotations, and public repositories (e.g., NCBI, ENSEMBL, UCSC)
- Proficiency in Linux/Unix environments and command-line tools
- Experience with high-performance computing (HPC) clusters and cloud-based infrastructures
- Strong problem-solving skills and ability to work independently as well as collaboratively in a team environment
- Excellent communication and interpersonal skills, with the ability to present complex findings to both technical and non-technical audiences
- MSc or PhD in Bioinformatics, Computational Biology, or a related field
Preferred Qualifications:
- Experience with single-cell genomics or metagenomics data analysis
- Knowledge of machine learning and data mining techniques applied to genomics research
- Familiarity with data integration and multi-omics analysis approaches
- Track record of scientific publications and contributions to the bioinformatics community
If you are a motivated and talented Bioinformatician looking to advance your career in a challenging and innovative research environment, we encourage you to apply. Please submit your CV, cover letter, and any relevant publications or portfolio showcasing your work.
S3Science is an equal opportunities employer: our recruitment process is fair, objective and open.
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