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For Companies 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 competitive pay and opportunities for growth.
- Why this job: Make a real impact in healthcare through cutting-edge genomic research.
- Qualifications: Background in bioinformatics or data science with strong coding skills.
- Other info: Be part of a nationwide talent pool for future roles starting in 2026.
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 in Sheffield employer: ARCA
Contact Detail:
ARCA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Genomics Data Scientist in Sheffield
✨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 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 is your chance to demonstrate your expertise in R and Python, so let’s make it shine!
✨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! We’re building a talent pool specifically for roles in genomics, and applying directly gives you a better chance of being noticed by our team.
We think you need these skills to ace Genomics Data Scientist in Sheffield
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 concise but engaging – we love a good story!
Show Off Your Coding Skills: Since strong R and/or Python skills are key, consider including links to any relevant GitHub repositories or projects. This gives us a peek into your coding style and problem-solving abilities, which is super important for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re serious about joining our team at ARCA!
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 these data types and any specific tools you've used for variant calling.
✨Show Off Your Coding Skills
Since strong R and Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Understand Statistical Methods
Familiarise yourself with the statistical methods commonly used in bioinformatics and biostatistics. Be prepared to discuss how you've applied these methods in past projects and how they can be used to generate insights from genomic data.
✨Communicate Clearly and Collaboratively
As collaboration is key in this role, practice articulating your ideas clearly. Think about examples where you've worked in multidisciplinary teams and how you contributed to successful outcomes. Good documentation practices will also impress your interviewers!