We are seeking a highly skilled Computational Biologist for our clients to support data-driven research and discovery within a biotechnology-focused organisation. This role involves developing and applying computational models algorithms and analytical pipelines to interpret complex biological datasets. The successful candidate will work closely with bioinformatics data scientists and wet-lab researchers to drive scientific insight and innovation.
Job Responsibility
- Develop and apply computational models and algorithms for biological data analysis
- Analyse large-scale genomic transcriptomics proteomic or multi-omics datasets
- Collaborate with wet-lab scientists to translate experimental data into actionable insights
- Design optimise and maintain reproducible analysis pipelines
- Document methodologies and present findings to technical and non-technical stakeholders
Requirements
Required Skills*
- Strong background in computational biology or quantitative life sciences
- Proficiency in Python R or similar programming languages
- Experience analysing large-scale biological or omics datasets
- Strong statistical and analytical problem-solving skills
Desired Skills
- Experience with machine learning or advanced statistical modelling
- Familiarity with cloud computing platforms (AWS GCP Azure)
- Experience working in regulated or clinical research environments
Benefits
Job Benefits
- Competitive salary package
- Hybrid or flexible working arrangements
- Career progression within advanced research and data science teams
- Pension contribution
- Opportunity to work on cutting-edge biological research
Required Skills:
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 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 scientific research in the field
We are seeking a highly skilled Computational Biologist for our clients to support data-driven research and discovery within a biotechnology-focused organisation. This role involves developing and applying computational models algorithms and analytical pipelines to interpret complex biological datas...
We are seeking a highly skilled Computational Biologist for our clients to support data-driven research and discovery within a biotechnology-focused organisation. This role involves developing and applying computational models algorithms and analytical pipelines to interpret complex biological datasets. The successful candidate will work closely with bioinformatics data scientists and wet-lab researchers to drive scientific insight and innovation.
Job Responsibility
- Develop and apply computational models and algorithms for biological data analysis
- Analyse large-scale genomic transcriptomics proteomic or multi-omics datasets
- Collaborate with wet-lab scientists to translate experimental data into actionable insights
- Design optimise and maintain reproducible analysis pipelines
- Document methodologies and present findings to technical and non-technical stakeholders
Requirements
Required Skills*
- Strong background in computational biology or quantitative life sciences
- Proficiency in Python R or similar programming languages
- Experience analysing large-scale biological or omics datasets
- Strong statistical and analytical problem-solving skills
Desired Skills
- Experience with machine learning or advanced statistical modelling
- Familiarity with cloud computing platforms (AWS GCP Azure)
- Experience working in regulated or clinical research environments
Benefits
Job Benefits
- Competitive salary package
- Hybrid or flexible working arrangements
- Career progression within advanced research and data science teams
- Pension contribution
- Opportunity to work on cutting-edge biological research
Required Skills:
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 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 scientific research in the field
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