Bioinformatics Scientist | Genomic Research & Data Innovation
Salary: £60,000 – £85,000 per year (depending on experience)
Location: London, Oxford, or Remote (UK-based)
Type: Full-Time
Industry: Biotechnology / Healthcare Technology / Life Sciences
Job Owner: Tariq Masood
Job Description
We are looking for an experienced Bioinformatics Scientist to join our cutting-edge research team driving innovation in genomics, transcriptomics, and multi-omics data analysis.
In this role, you will lead the development of scalable computational methods, analyze next-generation sequencing (NGS) datasets, and collaborate with interdisciplinary teams across biotechnology, clinical research, and personalized medicine.
This position offers an exciting opportunity to contribute to novel biomedical discoveries, design advanced bioinformatics pipelines, and translate complex biological data into actionable insights that shape real-world healthcare outcomes.
Experience
Minimum 5+ years of experience in bioinformatics, genomics, or computational biology, preferably within academic, biotech, or clinical R&D environments.
Key Responsibilities
- Design and implement custom bioinformatics workflows for high-throughput data (e.g., RNA-seq, WGS, scRNA-seq).
- Perform large-scale genomic and transcriptomic data analysis using Python, R, and HPC/cloud environments.
- Translate raw biological data into meaningful insights to support scientific discovery and clinical development.
- Publish findings, contribute to white papers, and collaborate on scientific publications.
- Work cross-functionally with wet lab researchers, biostatisticians, and software engineers.
- Evaluate and adopt emerging computational tools, standards, and databases in bioinformatics.
- Manage complex data integration across clinical, molecular, and multi-omic sources.
Required Skills
- Strong coding proficiency in Python, R, and Shell scripting, with experience using Git.
- Deep understanding of NGS data processing, variant annotation, and expression analysis.
- Hands-on experience with tools such as BWA, GATK, STAR, DESeq2, EdgeR, Snakemake.
- Proficient with Linux/Unix systems, high-performance computing, and cloud platforms (e.g., AWS, GCP).
- Strong skills in data visualization and statistical interpretation of biological datasets.
Desired Skills
- PhD in Bioinformatics, Computational Biology, Genomics, or a related discipline.
- Experience with multi-omics data integration (e.g., proteomics, epigenomics).
- Familiarity with regulatory standards for genomic data (HIPAA, GDPR, ISO).
- Knowledge of machine learning techniques for biological and genomic data.
- Contributions to open-source bioinformatics software or tools are a plus.
Job Benefits
- Competitive salary + annual performance bonus
- Hybrid or remote working flexibility
- Private medical insurance & enhanced pension scheme
- Generous professional development and training budget
- Access to advanced R&D and cloud computing tools
- Collaboration with global leaders in genomics and health data science
Education
- PhD preferred, however Master’s with strong industry experience will also be considered.
Additional Details
- Experience Required: 5+ years in bioinformatics and genomic data analysis
- Sponsorship: Not considered
