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Research Fellow, Vascular Stem Cell Biology Research team

Employer
Global Academy Jobs
Location
United Kingdom
Closing date
Mar 13, 2017

Job Details

JOB PURPOSE:

To join the Vascular Stem Cell Biology Research team within the Centre for Experimental Medicine to work on a project funded by the
Leverhulme Trust. This investigation aims to elucidate molecular mechanisms driving cellular senescence in human endothelial
progenitors and mature endothelial cells. To analyse and interpret relevant high throughput datasets. To support other team member
with experimental data production and design pipelines for appropriate statistical analysis.

MAJOR DUTIES:

1. To be actively involved in the existing research programme as directed by the line manager and to ensure adequate planning
and progression of the investigation so that the overall research objectives are met.
2. To analyse large datasets related to transcriptomics and epigenomics in relation to cellular ageing.
3. To design pipelines for data analysis and statistical assessment.
4. To support research team to ensure data is interrogated appropriately.
5. To ensure data generated in the lab meet stantards for submission to database repositories.
6. To contribute to data generation by performing cell culture and PCR.
7. To present regular progress reports on research results.
8. To prepare, often in consultation with supervisor, material for publication in national and
international journals and presentations at international conferences.
9. To assist grant holders in the preparation of progress reports, scientific manuscripts, funding proposals and applications to external bodies.
10. To carry out routine administrative tasks associated with the research project/s to ensure that
project/s are completed on time and within budget. These might include organisation of project
meetings and documentation, financial control, risk assessment of research activities.
11. To carry out occasional undergraduate supervision, demonstrating or lecturing duties within the postholder’s area of expertise
and under the direct guidance of a member of academic staff.
12. To keep up-to-date with the scientific literature related to the area (academic papers, journals and textbooks) and use this to
inform experimental approches and study design.

Planning and Organising:
1. To plan for specific aspects of the research programme.
2. To deliver specific project goals to meet research project milestones.
3. To coordinate and liaise with other members of the research group over work progress.

Resource Management Responsibilities:
1. To ensure research resources are used in an effective and efficient manner.
2. To contribute to informatics related hardware and software maintenance and troubleshooting.
3. To provide guidance to other members of the team or students who may be assissting with research.

Internal and External Relationships: 
1. To liaise on a regular basis with supervisor and other members of the research team.
2. To build internal contacts and participate in internal networks for the exchange of information and to form relationships for future collaboration.
3. To join external networks to share information and ideas.

ESSENTIAL CRITERIA:

1. Have a PhD in computer science, bioinformatics, cell biology, mathematics, or a closely related area.
2. At least 3-years recent, hands-on, experience that will demonstrate relevant practical skills relevant for this project.
3. Previous experience analysing big data sets such as transcriptomic arrays, NGS, or similar.
4. Proficiency with Programming in at least one language such as R, Perl, Java, Python, C++.
5. Evidence of a key role in publications in internationally recognised peer reviewed journals. This list should be commensurate
with stage of career and experience.
6. Sufficient knowledge of and experience using computational tools to analyse biological data such as gene set enrichment
analysis, pathway analysis, interactome analysis, or similar others.
7. Extensive IT skills.
8. Ability to plan and organise work to meet deadlines.
9. Ability to communicate complex information clearly.
10. Accuracy and attention to detail.
11. Team worker, highly motivated, supportive of colleagues within the group.
12. Demonstrate a clear interest in working at the crossroads of biology, medicine, statistics, and computer science.
13. Must be prepared to work outside normal office hours.
14. Willing to attend and present at national and international meetings.

DESIRABLE CRITERIA:

1. PhD in Computational Biology.
2. Experience writing scripts for data analysis in R.
3. Experience with integration of multi-omics data types.
4. Implementing or developing novel analytical tools, algorithms, or machine learning pipelines.
5. Experience/knowledge of basic cell biology techniques such as cell culture, PCR, or flow cytometry.
6. Experience managing, curing, and updating databases.
7. Competency in statistics/mathematics.
8. Experience submitting datasets to databases such as GEO/Arrayexpress.
9. Ability to analyse large amount of information and present it in a clear manner.
10. Evidence of having presented at conferences (poster and/or oral presentations).
11. Long term goals in research.

 

 

 

 

 

 

 

 

 

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