обновлено 5 дней назад
Bioinformatician (Structural Biology)
3 303 - 3 695GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Bioinformatician (Structural Biology): Developing infrastructure that integrates molecular dynamics simulations with structural biology resources and biological knowledge bases with an accent on AI-driven literature mining, FAIR data, and protein annotations. Focus on building data integration pipelines, extending SIFTS, developing APIs and workflows, and solving interoperability challenges across international life sciences resources.
Location: Hinxton, Cambridgeshire, United Kingdom; hybrid working arrangements
Salary: £3,303–£3,695 per month after tax, depending on relevant experience, excluding personal pension and insurance contributions.
Company
-EBI is a research institute providing global biological databases, tools, and services for the storage, analysis, and dissemination of large biological datasets.
What you will do
- Design and implement data integration pipelines connecting molecular dynamics data with PDBe, UniProt, PDBe-KB, and other life science resources.
- Develop AI and machine learning approaches to extract experimental and biological metadata from scientific literature.
- Extend and maintain the SIFTS infrastructure to integrate molecular dynamics and other biological data resources.
- Develop software tools, APIs, workflows, documentation, and annotations supporting FAIR data access and interoperability.
- Collaborate with domain experts, software engineers, data providers, and international partners across research infrastructure and industry.
- Contribute to standardisation, community standards, training, outreach, and dissemination activities.
Requirements
- PhD in bioinformatics, computational biology, structural biology, computer science, data science, or a related field.
- Familiarity with structural biology and molecular simulation data, including protein sequence, structure, and functional annotations.
- Experience with NLP or LLM-based scientific literature mining.
- Experience with FAIR data principles, metadata standards, and scientific repositories.
- Experience in scientific software development, preferably with Python, plus Linux, Git, and CI/CD practices.
- Relevant scientific publications and strong communication, collaboration, and problem-solving skills.
Nice to have
- Postdoctoral research experience in a relevant field.
- Experience with graph databases such as Neo4j, REST APIs, containerisation, or workflow systems such as Nextflow.
- Experience in data visualisation, analysis, scientific reporting, and presentations.
- Experience working in international and interdisciplinary teams.
Culture & Benefits
- Three-year grant-based contract with a possibility of a one-year extension.
- Flexible working arrangements, including hybrid working patterns.
- Private medical insurance, pension scheme, and family, child, and non-resident allowances.
- Thirty days of annual leave in addition to public holidays.
- Relocation package with an installation grant if required.
- Campus facilities including shuttle transport, library, gym, cafeteria, nursery, and sports and social clubs.
- International applicants may receive visa exemptions and additional support for education and travel.
Hiring process
- Submit an up-to-date CV and a supporting cover letter describing motivation and relevant transferable skills.
- Applications are reviewed on a rolling basis and may close early if a suitable candidate is identified.
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