Bioinformatics Scientist

MastarRec; Packmoor; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A biotechnology firm is hiring a Bioinformatics Analyst to drive high-impact biomedical research projects by analyzing complex genomic and multi-omics data. The ideal candidate will leverage programming skills in Python and R, and collaborate closely with biologists and clinicians. Key skills include data analysis, molecular biology, and experience with bioinformatics tools. This role offers a competitive salary and an attractive hybrid working model with benefits including private healthcare and generous annual leave.

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.
• Strong understanding of molecular biology, genetics, and biostatistics.

Responsibilities

• Process analyze and interpret large-scale datasets including genomic transcriptomics and clinical data.
• Perform data integration and pipeline development using scripting languages.
• Collaborate with biologists, clinicians, and data scientists to generate actionable insights.

Skills

Strong proficiency in CRISPR / Cas9 genome editing

Machine Learning

Data Analysis Skills

Molecular Biology

Biochemical assays

Research Experience

Laboratory Experience

Education

PhD or MSc in Genetics, Molecular Biology or Biomedical Engineering

Tools

Python

R

GATK

Bioconductor

BWA

SAMtools

LIMS

Git

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.

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

Required Skills

• Strong proficiency in CRISPR / Cas9 genome editing
• Molecular cloning PCR gel electrophoresis and sequencing
• Experience working with mammalian and bacterial cell lines
• Familiarity with LIMS and laboratory data management tools
• Excellent documentation and scientific communication 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 scientific research in the field

Key Skills

• Laboratory Experience
• Immunoassays
• Machine Learning
• Biochemistry
• Assays
• Research Experience
• Spectroscopy
• Research & Development
• cGMP
• Cell Culture
• Molecular Biology
• Data Analysis Skills

Employment Type: Full Time

Experience: years

Vacancy: 1

Yearly Salary: 55000 - 75000