Bioinformatics Scientist

Overview

Our clients are hiring a results-driven Bioinformatics Analyst to contribute to high-impact biomedical research projects by analysing complex genomic and multi-omics data. The ideal candidate will have a strong foundation in biological data science programming and algorithmic thinking along with experience working in a cross-functional life sciences or healthcare setting.

• Process, analyse and interpret large-scale datasets including genomic, transcriptomics, proteomic and clinical data.
• Perform data integration and pipeline development using scripting languages like Python, R or Perl.
• Develop and optimize bioinformatics workflows for sequencing data (e.g. RNA-seq, WES, WGS).
• Use tools such as GATK, Bioconductor, BWA, SAMtools and other NGS pipelines.
• Collaborate with biologists, clinicians and data scientists to generate actionable insights.
• Maintain detailed documentation and ensure data analysis meets reproducibility standards.
• Contribute to publications, reports and presentations for internal and external stakeholders.

• Proven experience in bioinformatics analysis of high-throughput sequencing data (e.g. NGS).
• Proficiency with Python, R and command-line tools in Linux/Unix environments.
• Familiarity with cloud platforms (e.g. AWS, Google Cloud) and HPC environments.
• Strong understanding of molecular biology, genetics and biostatistics.
• Excellent problem-solving skills and attention to detail.
• Strong written and verbal communication skills to support collaborative research.

• Experience with machine learning applications in bioinformatics.
• Background in single-cell RNA sequencing, epigenomics or meta-genomics.
• Knowledge of FAIR data principles and version control systems (e.g. Git).
• Understanding of clinical bioinformatics and regulatory-compliant environments.

• Competitive salary and annual performance bonus
• Hybrid working model with flexible hours
• Private healthcare and dental cover
• Generous annual leave and training budget
• Access to cutting-edge tools and industry-leading biotech partners

Additional Information: Required Skills – Strong proficiency in CRISPR/Cas9 genome editing, molecular cloning, PCR, gel electrophoresis and sequencing; experience with mammalian and bacterial cell lines; familiarity with LIMS and laboratory data management tools; excellent documentation and scientific communication skills. Desired Skills – PhD or MSc in Genetics, Molecular Biology or Biomedical Engineering; experience in bioinformatics tools (e.g. BLAST, Geneious, Benchling); knowledge of synthetic biology or mRNA therapeutics;

published peer-reviewed research in the field.