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- Tasks: Analyse complex genomic data and contribute to impactful biomedical research.
- Company: Mastar Limited, a leader in innovative biotech solutions.
- Benefits: Competitive salary, hybrid work model, private healthcare, and generous leave.
- Other info: Access to cutting-edge tools and excellent career development opportunities.
- Why this job: Join a dynamic team and make a real difference in healthcare.
- Qualifications: Experience in bioinformatics, programming skills, and strong problem-solving abilities.
The predicted salary is between 36000 - 60000 £ per year.
Mastar Limited is 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.
Key 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
Required Skills:
- 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 metagenomics.
- Knowledge of FAIR data principles and version control systems (e.g., Git).
- Understanding of clinical bioinformatics and regulatory-compliant environments.
Benefits
Job 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 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.
Bioinformatics Analyst in Cambridge employer: MastarRec
Contact Detail:
MastarRec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatics Analyst in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics field through LinkedIn or industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or any bioinformatics tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common bioinformatics questions and case studies. Practising with friends or mentors can help you articulate your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Bioinformatics Analyst in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Bioinformatics Analyst role. Highlight your experience with genomic data analysis, programming skills in Python or R, and any relevant projects you've worked on. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about bioinformatics and how your skills can contribute to our high-impact biomedical research projects. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a specific bioinformatics workflow you developed or a dataset you analysed, we want to know what you've accomplished. Include links if possible, so we can check them out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at MastarRec
✨Know Your Data
Make sure you brush up on your knowledge of genomic and multi-omics data. Be prepared to discuss specific projects where you've processed or analysed large datasets, and how you approached the challenges involved. This will show that you not only understand the theory but also have practical experience.
✨Show Off Your Coding Skills
Since programming is a key part of this role, be ready to demonstrate your proficiency in Python, R, or Perl. You might even be asked to solve a coding problem during the interview, so practice writing scripts that could help with bioinformatics workflows. Familiarity with tools like GATK or Bioconductor will definitely give you an edge.
✨Collaborate Like a Pro
Highlight your experience working in cross-functional teams. Prepare examples of how you've collaborated with biologists, clinicians, or data scientists to generate insights. This will show that you can communicate effectively and work well in a team setting, which is crucial for this role.
✨Stay Current and Curious
Keep yourself updated on the latest trends in bioinformatics and related fields. Mention any recent advancements or tools you've been exploring, especially those related to machine learning or single-cell RNA sequencing. This demonstrates your passion for the field and your commitment to continuous learning.