Bioinformatics Scientist

• 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.
  

Requirements

• 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.
  

Desired Skills:

• 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.
  

Benefits

• 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