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- Tasks: Analyse large genomic datasets and develop bioinformatics workflows.
- Company: Join ARCA, a leader in digital health transformation.
- Benefits: Exciting contract roles with opportunities in NHS and biotech.
- Why this job: Make a real impact on health through cutting-edge genomic research.
- Qualifications: Experience in bioinformatics or data science with strong R/Python skills.
- Other info: Be part of a nationwide talent pool for future opportunities.
The predicted salary is between 43200 - 72000 £ per year.
ARCA is building a nationwide talent pool of Genomics Data Scientists with skills across bioinformatics, biostatistics, computational genomics and large-scale data analysis. We support NHS organisations, research groups and biotech partners and are looking for candidates at all levels for upcoming contract and permanent roles, starting in 2026.
What You'll Work On:
- Analysis of large genomic datasets (WGS/WES, RNA-Seq, variant calling).
- Developing and maintaining bioinformatics workflows and pipelines.
- Applying statistical modelling to genomic and clinical data.
- Generating insights to support research, clinical decision-making and population health programmes.
- Collaborating with multidisciplinary teams across science, data and clinical domains.
What We're Looking For:
- Background in Bioinformatics, Biostatistics, Computational Genomics, Data Science or similar.
- Experience with genomic data formats and tools.
- Strong R and/or Python skills.
- Understanding of statistical methods used in biological data analysis.
- Clear communicator with good coding and documentation practices.
- TRE/SDE/HPC experience is a bonus.
Join the ARCA Genomics Talent Pool. Register your interest to be considered for roles across the NHS, academia, biotech and national genomics initiatives.
Genomics Data Scientist in London employer: ARCA
Contact Detail:
ARCA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Genomics Data Scientist in London
✨Tip Number 1
Network like a pro! Connect with professionals in the genomics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections are when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving genomic data analysis. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to bioinformatics and data science. We recommend practising your responses with a friend or even in front of the mirror 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 seen by the right people. Plus, we’re always on the lookout for talented Genomics Data Scientists like you!
We think you need these skills to ace Genomics Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in bioinformatics, biostatistics, and computational genomics. We want to see how your skills connect with the role, so don’t be shy about showcasing relevant projects or tools you've used!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about genomics and how you can contribute to our multidisciplinary teams. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since we're looking for strong R and Python skills, make sure to mention any specific projects or experiences where you've applied these languages. If you’ve worked with genomic data formats or statistical methods, let us know!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at ARCA
✨Know Your Genomics Inside Out
Make sure you brush up on your knowledge of genomic datasets, especially WGS/WES and RNA-Seq. Be ready to discuss your experience with variant calling and how you've applied statistical modelling in past projects. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Showcase Your Coding Skills
Since strong R and/or Python skills are a must, prepare to demonstrate your coding abilities. Bring examples of bioinformatics workflows or pipelines you've developed. If possible, have a small project or code snippet ready to share that highlights your coding style and documentation practices.
✨Collaboration is Key
Highlight your experience working with multidisciplinary teams. Be prepared to discuss specific instances where you collaborated with scientists, data analysts, or clinical professionals. This will illustrate your ability to communicate effectively across different domains, which is crucial for the role.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in genomics and digital health, especially those relevant to NHS digital transformation programmes. Being able to discuss current developments shows your passion for the field and your commitment to contributing to population health initiatives.
