Human Trait Curator
Location: EMBL-EBI, Hinxton near Cambridge, UK
Staff Category: Supernumerary
Contract Duration: 6 months
Grading: 4-5 (Monthly salary starting at £2,540.35 after tax)
Closing Date: 3 November 2020
Reference Number: EBI01700
The post holder will work with data content specialists from the GWAS Catalog and ontologist to improve the way that human traits, for example, those representing complex diseases, are represented and annotated. The team delivers resources such as the Experimental Factor Ontology and several ontology tools widely used by the community, for example Ontology Lookup Service, and the Ontology Cross Reference Service OxO and the post holder will collaborate within the teams that deliver these resources.

This post is funded by the UPheno project which  standardises and integrates phenotype terminologies (ontologies) across multiple species through the application of standard design patterns  and a common automated ontology build system. We will extend existing ontology design patterns and use them to formally define trait terms used in GWAS annotation.  This will have potential applications in identification of drug targets, variant prioritization in the clinic and hypothesis generation in medical research.  

Your role

The postholder will:
  • Have an interest in biocuration
  • Work with the content specialists to define their annotation needs for human traits
  • Define new terms required by the content specialists and add formal definitions for these in collaboration with ontology development  teams
  • Attend regular conference calls between UK based and US collaborators
  • Deliver ontology content representing human traits for use by content specialists

You have

  • A degree in biomedical sciences
  • An interest in bio-curation and/or ontology development
  • A good understanding of genome wide association studies (GWAS) or related techniques

You might also have

  • A higher degree in genetics or bioinformatics
  • Experience working as an annotator or curator for biomedical data
  • Basic technical ability with Unix and/or Python
  • A research background including experience of genome wide association studies (GWAS) or related techniques.

Why join us

Our supportive culture encourages personal and professional development and we are committed to ensuring our employees feel valued, supported and empowered to reach their potential at work. Surrounded by beautiful South Cambridgeshire countryside, our Campus provides employees with a relaxed atmosphere where the pursuit of scientific discovery and meaningful work, underpin every role. In addition, our employees have access to a wide range of benefits including:
  • 30 days annual leave plus bank holidays
  • Flexible work arrangements (including remote working, part-time and job share options)
  • On-site library 
  • Subsidised on-site gym and cafeteria
  • Casual dress code 
  • Free shuttle bus to and from Campus 
  • Extensive sports and social club activities (run on campus and remotely)

What else you need to know

To apply please submit a covering letter and CV through our online system. At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ and individuals from all nationalities. Applications are encouraged from all nationalities and this has continued after Brexit. For more information please see our website. Visa information will be discussed in more depth with applicants selected for interview.

This position is limited to 6 months duration in the first instance, extendable to a maximum of 1 year. The role is based in Hinxton, UK. More info on how we are recruiting in this period is available on our page: Recruitment and Onboarding during Covid19.

Applications will close at 23:00 GMT on the date listed above.

Appointment will be based on merit alone.