At a Glance
- Tasks: Analyse complex biological datasets and develop interactive visualisation tools for plant science research.
- Company: Join the Ellison Institute of Technology, a leader in innovative scientific solutions.
- Benefits: Competitive salary, enhanced holiday, private medical insurance, and more.
- Other info: Collaborative environment with opportunities to work alongside top researchers and AI engineers.
- Why this job: Make a real-world impact on global food production and climate change through cutting-edge research.
- Qualifications: BSc/MSc in a quantitative field with experience in data analysis and visualisation.
The predicted salary is between 35000 - 45000 £ per year.
Description
Join us at EIT
At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact.
We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas:
- Health, Medical Science & Generative Biology
- Food Security & Sustainable Agriculture
- Climate Change & Managing CO₂
- Artificial Intelligence & Robotics
This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference.
At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs.
Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society.
Explore more at www. eit. org .
Welcome to the Plant Biology Institute
The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford.
The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research.
The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science.
Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production.
By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact.
Areas of exploration include
- Improved plant productivity, both indoors and outside.
- Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides.
- Novel decarbonised plant-based production platforms for food and medicines.
- Advanced technologies that speed up discovery and deployment in plants.
Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem.
They will also work with global leaders in market development, commercialisation, and impact creation.
The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision.
Your Role
We are seeking a highly motivated
Data Analyst to join the Bioinformatics platform team, which builds computational tools for plant biology in close collaboration with the phenotyping platform and research teams.
The successful candidate will work at the intersection of multi-omic analysis and software development, to accelerate plant science research.
By developing and implementing robust data analysis pipelines, interactive visualisation tools, and preparing inputs for agentic workflows, your work will directly shape how we make data driven decisions to accelerate plant science research.
The role will require working closely with bioinformaticians, research scientists and AI engineers, to design and deliver enterprise-level analytical approaches that meet the evolving needs of the institute.
The ideal candidate will have a strong background in statistics, data analysis and visualization and the ability to translate complex, multi-omic datasets into clear, actionable insights that inform research and decision-making across the institute.
Your Responsibilities
- Apply statistical methods to analyse complex biological datasets and support data-driven decision-making.
- Design and build interactive dashboards and visualisation tools to communicate data insights to research and stakeholder audiences.
- Apply FAIR data principles and metadata standards to ensure data is findable, accessible, interoperable, and reusable across the institute.
- Prepare and structure data inputs to support agentic workflows.
- Collaborate with bioinformaticians, research scientists, and AI engineers to translate research questions into analytical approaches and deliverables.
- Design and deliver enterprise-level analytical solutions that are scalable, reproducible, and aligned with institute-wide data standards.
- Clean, validate, and structure data from multiple sources to ensure quality and consistency for downstream analysis.
- Communicate analytical findings clearly to both technical and non-technical stakeholders, gathering requirements and feedback to ensure solutions meet research needs.
Requirements
Essential Skills, Qualifications & Experience
- BSc/MSc in a quantitative discipline with demonstrable experience in data analysis solution development within life sciences.
- Strong background in statistics and data analysis, with the ability to apply appropriate methods to complex, multi-omic datasets.
- Proven experience with data visualisation tools and techniques to communicate insights effectively (e. g. Plotly Dash, R shiny).
- Strong programming and scripting skills for data analysis (e. g. Python, R).
- Experience working with large, complex data sets from multiple sources, including cleaning, validating, and structuring data.
- Demonstrated ability to translate complex data into clear, actionable insights for research and business decision-making.
- Understanding of FAIR data principles and metadata standards, with experience applying these to research data.
- Proven ability to engage stakeholders, gather requirements, and present analytical solutions to non-technical audiences.
- Good understanding of relational and/or non-relational databases for storing and querying data.
- Ability to work collaboratively with bioinformaticians, research scientists, AI engineers, and other technical teams to deliver analytical outcomes.
Desirable Knowledge, Skills, and Experience
- Familiarity operating within Linux environments, including operating within HPC and/or cloud environments (e. g. SLURM, OCI).
- Familiarity with bioinformatics tools, file formats, and databases (e. g. FASTQ, BAM/VCF, reference genomes).
- Experience preparing data or structuring pipelines to support AI/ML or agentic systems.
- Experience mentoring or guiding junior team members or collaborators.
Benefits
Our Benefits
- Salary dependent on experience + travel allowance + bonus
- Enhanced holiday + options to buy additional days
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
- Electric Car Scheme
- Childcare benefit
Working Together – What It Involves
- You must have the right to work permanently in the UK with a willingness to travel as necessary.
In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis.
- You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Bioinformatics Data Analyst in Oxford employer: Ellison Institute of Technology
The Ellison Institute of Technology is an exceptional employer, offering a dynamic work environment in Oxford where innovation meets collaboration. As a Security Architect, you will not only contribute to cutting-edge research but also enjoy generous benefits such as enhanced holidays and a robust pension scheme, all while being part of a mission-driven team dedicated to addressing global challenges.
Contact Details:
Ellison Institute of Technology Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Bioinformatics Data Analyst in Oxford
✨Get Involved in Local Research Communities
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We think you need these skills to ace Bioinformatics Data Analyst in Oxford
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Ellison Institute of Technology that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Ellison Institute of Technology.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Ellison Institute of Technology does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
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How to prepare for a job interview at Ellison Institute of Technology
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Ellison Institute of Technology. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Ellison Institute of Technology's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Ellison Institute of Technology. This shows your passion for the industry!