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.
