BioSS 08-21 - Senior Bioinformatician for Applied Methodological Research

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Posted: 01/04/2021 17:22
Start Date: Not Available
Salary: £38,442.00
Location: Edinburgh
Level: Hutton E
Deadline: 27/04/2021 23:59
Hours: 37
Benefits: Generous
Job Type: Permanent

BioSS has an international reputation for methodological development in statistics, mathematical modelling and bioinformatics.  We offer a stimulating working environment, with over 40 staff and students at four locations, collaborating on applications in plant science, animal health & welfare, ecology & environmental science, and human health and nutrition.

More information on the detail of the post and the post holder can be found below in the job description.

Main Purpose of Job          

  • Delivery of collaborative research in the application areas of institutions with which BioSS is collaborating (SEFARI and others).
  • Development of a portfolio of personal research in the field of novel quantitative methods applicable to high-throughput bioinformatics.
  • Generating additional income for BioSS by supporting and leading applications for funding and contributing to the resulting projects

Main duties of post holder

  • Contribute quantitative expertise to collaborative research projects across BioSS, focussed on (but not limited to) high-throughput bioinformatics and related activities with the SEFARI.
  • Deliver research on methodology for the analysis of bioinformatics data, including high-throughput and computationally intensive methods. with clear relevance to the Scottish Government funded Strategic Research Programme.
  • Take responsibility for scientific relationship with specific SEFARI Science Groups, building strong collaborative links both as an individual and in support of others in BioSS; showing leadership in establishing new links and new areas of collaboration.
  • Lead applications for funding, including calls from UKRI, and contribute to management and delivery of resulting projects as appropriate.
  • Represent BioSS externally at meetings with stakeholders from scientific and non-scientific backgrounds, and in particular online via development and delivery of research-related software.
  • Extend collaborative links with government agencies, NGOs, universities, research institutes and commercial organisations.

Qualifications/Skills/Knowledge

Essential

  • A PhD in a quantitative discipline with substantial bioinformatics and computational components, or an MSc with commensurate post-qualification development and work experience (generally three years).
  • Experience of development and use of modern quantitative methods applied to real-world examples.
  • A strong track record of research and/or collaboration evidenced by scientific journal and conference papers in a methodological field relevant to the SEFARI.
  • Evidence of ability to initiate, manage and maintain scientific collaborations.
  • The ability to work independently.
  • Evidence of ability to lead projects and to manage people.
  • Enthusiasm for development and application of quantitative methods, and for collaborating with applied scientists in a range of scientific areas.
  • Understanding of data types and quantitative issues relevant to general bioinformatics and high-throughput bioinformatics, sequencing in particular.
  • Excellent computer programming ability to handle large data sets and deploy algorithmic, computational and statistical bioinformatics techniques.
  • Evidence of good written communication.
  • Ability to give effective spoken presentations, to both quantitative and wider scientific audiences.

Desirable

  • Experience of methodological development and scientific collaborations in the field of bioinformatics.
  • Evidence of work on the data analysis of high-throughput sequencing experiments.
  • Broad knowledge of biological topics relevant to bioinformatics, especially how they influence data and data generation.
  • Experience working in phylogenetics and phylodynamics.
  • Evidence of contribution to funding proposals, and some evidence of leadership.
  • Understanding of experimental design, sequencing protocols and the implications they have on downstream data processing.

We will not consider the use of 3rd party recruitment agencies for the sourcing of candidates for this position.   

The James Hutton Institute is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The James Hutton Institute is a: Stonewall Diversity Champion; Athena SWAN Bronze Status Holder; Disability Confident Committed Employer and a Living Wage Employer.

 

 



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