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- Tasks: Analyse complex genomic data and develop bioinformatics workflows for impactful research.
- Company: Leading biotech firm focused on innovative biomedical solutions.
- Benefits: Competitive salary, hybrid work model, private healthcare, and generous leave.
- Why this job: Join a dynamic team and contribute to groundbreaking biomedical discoveries.
- Qualifications: Experience in bioinformatics, proficiency in Python/R, and strong problem-solving skills.
- Other info: Collaborate with experts and access cutting-edge tools in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
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.
Additional Information
- Strong proficiency in CRISPR/Cas9 genome editing, molecular cloning, PCR, gel electrophoresis and sequencing; experience 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 research in the field.
Bioinformatics Scientist in Oxford employer: MastarRec
Contact Detail:
MastarRec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatics Scientist in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics field 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 bioinformatics tools you've used. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common bioinformatics questions and case studies. We recommend practising with friends or mentors to build confidence and refine your answers.
✨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 Bioinformatics Scientist in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Bioinformatics Scientist role. Highlight your experience with genomic data analysis and any relevant programming skills in Python or R. 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 projects. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a research paper or a personal project using NGS tools, we want to see your hands-on experience. It helps us understand your practical skills better.
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’s super easy – just follow the prompts!
How to prepare for a job interview at MastarRec
✨Know Your Data
Before the interview, brush up on your knowledge of genomic and multi-omics data. Be prepared to discuss specific projects where you've processed and analysed large datasets. This will show your potential employer that you have hands-on experience and can contribute to their high-impact biomedical research.
✨Showcase Your Skills
Make sure to highlight your proficiency in programming languages like Python and R. Bring examples of bioinformatics workflows you've developed or optimised, especially those involving tools like GATK or Bioconductor. This practical demonstration of your skills can set you apart from other candidates.
✨Collaboration is Key
Since the role involves working with biologists, clinicians, and data scientists, be ready to discuss your collaborative experiences. Share examples of how you've worked in cross-functional teams to generate actionable insights. This will demonstrate your ability to communicate effectively and work well with others.
✨Stay Current
Familiarise yourself with the latest trends in bioinformatics, such as machine learning applications or cloud platforms like AWS. Showing that you're up-to-date with industry advancements will reflect your commitment to continuous learning and innovation, which is highly valued in this field.
