At a Glance
- Tasks: Join a dynamic team to develop and analyse global biodata resources.
- Company: Be part of the Global Biodata Coalition, driving innovation in life sciences.
- Benefits: Enjoy competitive salary, generous leave, and hybrid working options.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact in biomedical research while growing your skills.
- Qualifications: Strong Python skills and experience in data analysis are essential.
The predicted salary is between 41425 - 45541 £ per year.
The Global Biodata Coalition (GBC) brings together leading international funders in biomedical and life sciences research to secure the long-term sustainability of the world's most essential biodata resources. Hosted by EMBL-EBI and supported by a new five-year European Commission grant and contributions from GBC Member funding organisations, GBC operates at the intersection of science, policy, and global collaboration.
A key element of GBC's Scientific Programme is to discover and describe globally distributed biodata resources and their interconnectivity, with a view to engaging stakeholders in the development and evaluation of models for sustainability.
We are looking for a pro-active, broadly skilled Biodata Infrastructure Technical Analyst to grow our operational intelligence base on global biodata infrastructure. You will develop and maintain analytical tools, and deliver analysis using these tools around the discovery, characterisation and usage of global biodata resources. You will report to the GBC Scientific Head.
Your role as Biodata Infrastructure Technical Analyst will include:
- Development and maintenance of the body of software used in discovery and analysis of biodata resources and their interconnections
- Management of GBC software repositories and cloud deployment environments
- Maintenance and routine refresh of the GBC Global Inventory of biodata resources
- Usage and other analyses relating both to the GBC's Global Core Biodata Resources and to the broader global biodata infrastructure
- Citation, and citation network, analysis relating to global biodata resources
- Text mining of the scholarly literature and other corpora for the extraction of biodata resource information and evidence of usage
- Engagement and collaboration with external groups that build and maintain tools, services, catalogues, registries and other resources that relate to the delivery of GBC analytics
- Communication verbally and in writing of analytical findings to members of the GBC Secretariat and external stakeholders
You have:
- Undergraduate degree in either software engineering, informatics, computer science, or equivalent life science, with strong computational components
- Leadership of computational projects with responsibility for design, implementation and delivery
- Authorship and maintenance of technical documentation
- Strong Python skills for data cleaning, analysis, and visualisation
- Ability to design reproducible data pipelines and maintain well-documented datasets
- Experience with workflow tools such as Nextflow
- Experience retrieving and integrating data from REST APIs, databases, and public data services
- Strong SQL skills for querying relational databases
- Experience using AI-assisted coding and workflow tools to support reproducible data analysis, with appropriate human review
- Experience applying machine-learning methods to text classification, named entity recognition, or information extraction
- Experience with Git/GitHub/GitLab
- Experience with cloud platforms, especially Google Cloud
- High attention to detail
- Ability to present analytical findings clearly to technical and non-technical audiences
- A collaborative mindset
- High level of organisation
- Work independently as well as part of a team
You might also have:
- Postgraduate qualification in informatics or life science
- Involvement in bioinformatics data analysis
- Work within the life sciences biodata resource ecosystem
- Familiarity with biodata resources, biodata types, accession identifiers, and life-science data repositories
- Experience working with Python notebooks, such as Jupyter or Google Colab
- Experience with dashboarding, reporting, or interactive visualisation tools
- Experience with bibliometrics, citation analysis, or citation-network analysis
- Experience with text mining of scholarly literature, metadata, citations, acknowledgements, or full-text corpora
Benefits and Contract Information:
- Financial incentives: depending on circumstances, monthly family/marriage allowance of £291, monthly child allowance of £351 per child, non-resident allowance up to £595 per month
- Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances
- Hybrid working arrangements
- Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)
- Generous time off: 30 days annual leave per year, in addition to eight bank holidays
- Relocation package including installation grant (as applicable)
- Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)
- Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances
- Contract duration: This position is a 3-year contract
- Salary: Grade 5 or 6 monthly salary from £3,452.05 or £3,861.91 after tax (but excluding pension & insurances) + benefits (Total package will be dependent on family circumstances)
- International applicants: We recruit internationally and successful candidates are offered visa exemptions
- Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities.
- Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.
How to apply: To apply please submit a cover letter and a CV through our online system before the closing date. Applications will close on 17/08/2026.
GBC Biodata Infrastructure Technical Analyst in Saffron Walden employer: All The Top Bananas
My Four Wheels is an exceptional employer, offering a rewarding career as a Trainee Driving Instructor with flexible working hours and the potential to earn up to £50,000+ annually. With comprehensive training provided through our new Training Academy, employees benefit from ongoing support and resources, ensuring a fulfilling journey towards becoming a qualified instructor while enjoying the satisfaction of teaching locally in Westfield, Surrey.
StudySmarter Expert Advice🤫
We think this is how you could land GBC Biodata Infrastructure Technical Analyst in Saffron Walden
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like All The Top Bananas!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like GBC Biodata Infrastructure Technical Analyst at All The Top Bananas.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like All The Top Bananas.
✨Apply Directly through Our Website
When you find a suitable opening like GBC Biodata Infrastructure Technical Analyst at All The Top Bananas, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 All The Top Bananas, 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 All The Top Bananas. 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 All The Top Bananas
✨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 All The Top Bananas!
✨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.
