Organisation/Company University College Cork Department HR Research Research Field Medical sciences » Other Researcher Profile Established Researcher (R3) Positions Postdoc Positions Application Deadline 2 Jul *********:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Offer Starting Date 3 Jun **** Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Applications are invited for a Post-Doctoral Researcher to join a Research Ireland-funded project focused on characterising the gut bacterial lipidome.
This role will focus on the computational analysis of LC-MS lipidomics datasets, with particular emphasis on untargeted high-resolution mass spectrometry data generated using Agilent and Waters platforms.
The successful candidate will contribute to the development and implementation of robust, reproducible workflows for lipidomics data processing, annotation, and interpretation.
A key aspect of the role will involve applying and extending tools such as Skyline, MZmine, and custom scripts (e.g. in R or Python) to streamline large-scale data analysis.
We welcome applications from candidates with backgrounds in bioinformatics, computational biology, analytical chemistry, or related disciplines who have experience working with LC-MS datasets.
Experience in lipidomics or metabolomics is particularly desirable, and candidates with an interest in developing computational approaches for mass spectrometry data analysis are encouraged to apply.
To conduct a specified programme of research under the supervision and direction of a Principal Investigator/Project Leader.
To engage in appropriate training and professional development opportunities as required by the Principal Investigator, School or College in order to develop research skills and competencies.
To gain experience in grant writing.
To engage in the dissemination of the results of the research in which they are engaged, as directed by, with the support of and under the supervision of a Principal Investigator.
To become familiar with the publication process.
To acquire generic and transferable skills (including project management, business skills and postgraduate mentoring/supervision).
To engage in the wider research and scholarly activities of the research group, School or College.
To interact closely with postgraduate research students who are studying for a Masters or a PhD and possibly have an agreed role in supporting these students in their day-to-day research in conjunction with an academic supervisor.
To carry out administrative work to support the programme of research.
To carry out additional duties as may reasonably be required within the general scope and level of the post.
To contribute to costing research grant proposals and assist in the financial management of a research project.
Analysis of untargeted LC-MS lipidomics datasets (high-resolution MS)
Development and optimisation of lipidomics data processing workflows
Implementation of reproducible pipelines using R, Python, or similar
Use and integration of tools such as Skyline, MZmine, and related platforms
Lipid identification, annotation, and statistical analysis
Integration of lipidomics data with biological questions relating to bacterial systems
Contribution to publications and dissemination of research findings
Specific Requirements
A PhD qualification in Bioinformatics, Computational Biology, Analytical Chemistry, or a closely related discipline
Appropriate research experience.
Appropriate technical competence and accomplishment.
Demonstrated experience in LC-MS data analysis (high-resolution MS preferred)
Experience with untargeted metabolomics or lipidomics workflows
Familiarity with LC-MS data processing tools (e.g. Skyline, MZmine, or similar)
Evidence of strong data analysis and problem-solving skills
A capability of working within a project team to achieve results.
Good communication, organisation and interpersonal skills.
A commitment to gaining practical experience working on a research project.
Ability to work well within a team.
Strong programming skills (R, Python) for workflow development and automation
Specific experience in lipidomics (highly desirable)
Experience with Agilent and/or Waters HRMS platforms
Knowledge of statistical analysis and data visualisation
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