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 excellent employer, offering a dynamic work environment that fosters innovation and collaboration within the fast-paced technology sector. Employees benefit from comprehensive professional development opportunities, a supportive culture that values teamwork, and the chance to make a significant impact on the company's growth trajectory. Located in a vibrant area, ARCA provides a unique blend of career advancement and work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
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We think this is how you could land Genomics Data Scientist
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Genomics Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ARCA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ARCA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ARCA
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ARCA!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
