MA
Bioinformatics Scientist
- Hiring from
- United Kingdom
- Work type
- Hybrid
- Posted
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About Us
MastarRec is a specialist recruitment and staffing agency supporting high-growth and technology-driven industries across the United Kingdom, the United States, and global markets. We partner with organizations to deliver tailored staffing solutions focused on quality, integrity, and long-term value for both clients and candidates.
Job Description
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.
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
