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GBC Biodata Infrastructure Technical Analyst
Job in
Cambridge, Cambridgeshire, CB10 1SD, England, UK
Listed on 2026-08-06
Listing for:
EMBL-EBI
Contract
position Listed on 2026-08-06
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Scientist
Job Description & How to Apply Below
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, you will be a central member of the GBC team providing foundational evidence for the GBC programme. Particular duties and responsibilities 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/Git Hub/Git Lab
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 Apply now! 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…
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