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- Tasks: Develop and apply computational models to analyse complex biological datasets.
- Company: Leading biotechnology organisation focused on innovative research.
- Benefits: Competitive salary, flexible working, career progression, and pension contributions.
- Why this job: Join a cutting-edge team and contribute to groundbreaking biological research.
- Qualifications: Strong background in computational biology and proficiency in Python or R.
- Other info: Collaborate with experts and grow your career in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
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
- 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
Additional 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
Additional 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
Computational Biologist in London employer: MastarRec
Contact Detail:
MastarRec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Biologist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computational biology through LinkedIn or industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or any machine learning applications. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common interview questions related to computational models and biological data analysis to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Computational Biologist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Computational Biologist role. Highlight your experience with computational models, algorithms, and any relevant programming languages like Python or R. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've analysed large-scale biological datasets or collaborated with wet-lab scientists. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your cover letter, keep it clear and concise. Explain why you're passionate about computational biology and how your background aligns with our needs. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at MastarRec
✨Know Your Algorithms
Make sure you brush up on the computational models and algorithms relevant to the role. Be prepared to discuss how you've applied these in past projects, especially in analysing large-scale biological datasets.
✨Collaborate Like a Pro
Since this role involves working closely with wet-lab scientists, think of examples where you've successfully collaborated across disciplines. Highlight your communication skills and how you’ve translated complex data into actionable insights.
✨Show Off Your Coding Skills
Be ready to demonstrate your proficiency in Python, R, or any other programming languages mentioned in the job description. You might even be asked to solve a coding problem on the spot, so practice some common bioinformatics coding challenges beforehand.
✨Prepare for Technical Questions
Expect questions about statistical analysis and problem-solving techniques. Brush up on your knowledge of machine learning and advanced statistical modelling, as well as any experience you have with cloud computing platforms like AWS or GCP.
