View Vacancy -- UKRI Innovation/Rutherford Fund Fellowship LMS - 733
The post holder will lead a joint project between the Warnecke lab (MRC LMS) and Marsh lab (MRC IGMM) aimed at modelling and predicting the joint impact of two or more amino acid variants on protein structure and protein complex formation, using globinopathies as a model system. The post holder’s work will seek to explore how naturally occurring variants, obtained from large population cohorts, interact at the structural level when combined on a single genetic background, to obtain view of population-wide epistatic potential and to allow individualized disease predictions that can be tested experimentally.
- To plan and carry out research in accordance with agreed project aims
- To attend all project and related research group meetings.
- To interact and collaborate with researchers in related projects.
- Write-up and publication of work in peer-reviewed journals.
- To take an active part in the academic activities of the LMS.
- To attend and contribute to journal clubs and seminar presentations.
- To present data at national and international meetings (where and when appropriate).
- To form good working relationships with other members of the group as well as internal and external collaborators.
- To assist others and co-supervise students when required.
- To contribute to the development and maintenance of the group’s experimental or computational infrastructure as appropriate.
- To attend and contribute to UKRI Innovation/Rutherford Fund cohort activities
This post is a UKRI Innovation Fellowship (UK nationals) or a Rutherford Fund Fellowship (non-UK nationals) and will be part of a national cohort of fellows funded by the UK Government’s Industrial Strategy fund.
Applicants should have a PhD or equivalent in a relevant subject area (computational biology, protein structure modelling, computer science), an excellent publication record and a commitment to scientific excellence. Substantial experience in a relevant area of computational biology is required.
Education / Qualifications / Training required:
- PhD (or equivalent) in Computer science, Physics or other scientific background .
- PhD (or equivalent) in computational bilogy
Previous work experience required:
- Substantive experience in computational biology
- Prior experience with protein structural modelling (e.g. using force field approaches)
- Prior experience with haemoglobin/red blood cell biology
Knowledge and experience:
- Excellent written and verbal communication skills, ability to write clearly and succinctly for publication and potential fellowship applications
- Familiarity with statistical methods commonly employed in the analysis of population genomic and protein structural data.
- A strong publication record, with evidence that the applicant can plan and independently carry out experimental and computational projects
- Proficiency in at least one programming/scripting language (python, perl, etc.) as well as R or Matlab
- Experience in carrying out computational analyses in a cluster environment
- Ability to work independently and as part of a team (both in situ and remotely with collaborators)
- Evidence of ability to conduct research independently, from the planning stages to execution and write-up
- Willingness to share knowledge and skills with other members of the group on a daily basis.
- Good written and verbal communication skills in English.
- Ability to constructively criticize one’s own and others results
*Salary quoted is inclusive of London weighting. Additional allowances comprise a £1,000 lump sum Settlement Allowance plus a yearly Training Allowance of £850 in the first year, paid in monthly instalments. The Training Allowance increases to £1,300 in year two, and £1,800 in the third year.
From April 2018, MRC will be part of UK Research and Innovation. UK Research and Innovation will bring together the seven Research Councils, Innovate UK and a new organisation, Research England. The vision for the new organisation is to be the best research and innovation organisation in the world. From 1 April 2018 your employer will be UK Research and Innovation. More information can be found online http://www.ukri.org/ .
The MRC is a great place to work and progress your career, be it in scientific research or the support functions.
The MRC is a unique working environment where our researchers are rewarded by world class innovation and collaboration opportunities that the MRC name brings. The MRC is an excellent place to develop yourself further and a range of training & development opportunities will be available to you, including professional registration with the Science Council.
Choosing to come to work at the MRC (as part of UKRI from 1st April 2018) means that you will have access to a whole host of benefits from a defined benefit pension scheme and excellent holiday entitlement to access to employee shopping/travel discounts and salary sacrifice cycle to work scheme, as well as the chance to put the MRC and UKRI on your CV in the future.
Our success is dependent upon our ability to embrace diversity and draw on the skills, understanding and experience of all our people. We welcome applications from all sections of the community irrespective of gender, race, ethnic or national origin, religion or belief, sexual orientation, disability or age. As "Disability Confident" employers, we guarantee to interview all applicants with disabilities who meet the minimum criteria for the vacancy.
Final appointments will be subject to pre-employment screening.
This opportunity is closed to applications.