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Research Associate / Research Fellow in Human Genetics

King's College London - Medical & Molecular Genetics

Location: London
Salary: £44,105 to £55,694 per annum, including London Weighting Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 23rd October 2024
Closes: 19th November 2024
Job Ref: 097528
 

Grade and Salary

Research Associate: £44,105 - £51,485 per annum, including London Weighting Allowance

Research Fellow: £52,874 - £55,694 per annum, including London Weighting Allowance

About the role

We are seeking a highly motivated postdoctoral researcher with a strong background in statistical genetics and/or computational biology to join our team. 

The successful applicant will lead a cutting-edge research programme which aims to understand the genetic and molecular mechanisms of complex inflammatory skin diseases. The applicant will be encouraged to identify and drive a theme within our programme, depending on their expertise, development needs, and interest. 

This role represents a unique opportunity to generate biological insights from our large-scale research datasets including single-cell multiomic sequencing data from skin and blood to enable the identification of the causal mechanisms of disease, the cell-types in which they occur and the identification of therapeutic targets. There are also substantial opportunities to explore the impact of selection and use genetics as a tool to investigate the potential causal relationship between inflammatory skin disease and mental health traits. 

The ideal candidate will have a PhD. in computational or statistical genetics and genomics or a related field with a proven track record in the analysis of large biological datasets.

This is a full time post (35 Hours per week), and you will be offered an fixed term contract for up to 30/09/2026.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience: 

Research Associate 

Essential criteria

  • PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline *
  • Strong computational skills, with expertise in scripting in BASH and either R or Python
  • Experience with analysing complex datasets on high-performance compute clusters
  • Demonstrated ability to perform and publish high-impact research
  • Ability to work successfully as part of a team
  • Exceptional presentation skills and data visualisation skills
  • Evidence of self-directed productivity and to meet deadlines

*Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.  

Desirable criteria

  • Experience of processing and analysis of human genetic and phenotype data, including EHR data
  • Experience in population genetics 

Research Fellow 

Essential criteria

  • PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline
  • Postdoctoral research experience in genetic epidemiology, statistical genetics, bioinformatics or related discipline
  • Strong computational skills, with expertise in scripting in BASH and either R or Python
  • Experience with analysing complex datasets on high-performance compute clusters
  • Demonstrated ability to perform and publish high-impact research
  • Ability work successfully as part of a team, to supervise the work of others and to focus team efforts and motivate individuals
  • Exceptional presentation skills and data visualisation skills
  • Evidence of self-directed productivity and to meet deadlines

Desirable criteria

  • Experience of processing and analysis of human genetic and phenotype data, including EHR data
  • Experience in population genetics
  • Knowledge and understanding of competitive research funding and ability to develop applications to funding bodies
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