At a Glance
- Tasks: Analyse large genomic datasets and develop bioinformatics workflows.
- Company: Join ARCA, a leader in genomics supporting NHS and biotech partners.
- Benefits: Exciting roles with opportunities for contract and permanent positions starting in 2026.
- Other info: Be part of a nationwide talent pool with diverse career opportunities.
- Why this job: Make a real impact in healthcare through data science and collaboration.
- Qualifications: Background in bioinformatics or data science with strong R/Python skills.
The predicted salary is between 36000 - 60000 € 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 employer: ARCA
ARCA is an exceptional employer for Genomics Data Scientists, offering a collaborative work culture that fosters innovation and professional growth. With opportunities to engage in impactful projects across the NHS and biotech sectors, employees benefit from a supportive environment that values continuous learning and development. Located at the forefront of genomic research, ARCA provides a unique platform for scientists to contribute to meaningful advancements in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Genomics Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the genomics field on LinkedIn or at industry events. We can’t stress enough how valuable connections can be 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. We love seeing practical examples of your work, so make sure to highlight your R and Python prowess.
✨Tip Number 3
Prepare for interviews by brushing up on common bioinformatics and biostatistics questions. We recommend practising with friends or using mock interview platforms to build your 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’re always on the lookout for talented individuals to join our talent pool for exciting roles in genomics.
We think you need these skills to ace Genomics Data Scientist
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 align 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 your background makes you a great fit for our team. 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/or Python skills, make sure to mention any specific projects or experiences where you've used 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 serious about 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 prepared to discuss your experience with these data types and any specific projects you've worked on that involved variant calling or bioinformatics workflows.
✨Show Off Your Coding Skills
Since strong R and/or Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis and ensure you can explain your thought process clearly.
✨Communicate Clearly
As a Genomics Data Scientist, you'll need to collaborate with multidisciplinary teams. Practice explaining complex concepts in simple terms, and be ready to discuss how you've effectively communicated findings in past roles. Good documentation practices will also be a plus!
✨Prepare for Statistical Questions
Brush up on statistical methods used in biological data analysis. Be prepared to answer questions about how you've applied these methods in your work, and think of examples where your insights have supported research or clinical decision-making.
