Bioinformatics Scientist

MastarRec; Oxford; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A biotech company in the United Kingdom is hiring a Bioinformatics Analyst to contribute to biomedical research projects by analyzing complex genomic data. The ideal candidate will have proven experience in bioinformatics analysis, proficiency in Python and R, and strong knowledge in molecular biology. Responsibilities include data processing, pipeline development, and collaboration with scientists. The position offers a hybrid working model, competitive salary, and excellent benefits including private healthcare and training budget.

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

Qualifications

• Proven experience in bioinformatics analysis of high-throughput sequencing data.
• Proficiency with Python, R and command-line tools in Linux/Unix environments.
• Familiarity with cloud platforms 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.

Responsibilities

• Process, analyse and interpret large-scale datasets including genomic and transcriptomics data.
• Perform data integration and pipeline development using scripting languages.
• Develop and optimize bioinformatics workflows for sequencing data.
• Collaborate with biologists, clinicians and data scientists to generate actionable insights.
• Maintain detailed documentation to ensure reproducibility standards.

Skills

Bioinformatics analysis

Python

R

Machine learning

Molecular biology

Biostatistics

Problem-solving

Communication

Education

PhD or MSc in Genetics, Molecular Biology or Biomedical Engineering

Tools

GATK

Bioconductor

BWA

SAMtools

Linux/Unix command-line

Git

Job description

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.

Responsibilities

• 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

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.