Data Coordination Engineer

Job Location
Wellcome Trust Genome Campus
Hinxton, Cambridge
United Kingdom

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. The remuneration package comprises a competitive salary, a comprehensive pension scheme and health insurance, educational and other family related benefits where applicable, as well as financial support for relocation and installation.

We have an informal culture, international working environment and excellent professional development opportunities but one of the really amazing things about us is the concentration of technical and scientific expertise – something you probably won’t find anywhere else.

If you’ve ever visited the campus you’ll have experienced first-hand our friendly, collegial and supportive atmosphere, set in the beautiful Cambridgeshire countryside. Our staff also enjoy excellent sports facilities including a gym, a free shuttle bus, an on-site nursery, cafés and restaurant and a library.

Job Description

The Data Coordination and Archiving team seeks a highly motivated Data Coordination Engineer to work in Vertebrate Data Coordination at the European Bioinformatics Institute (EMBL-EBI), which is located on the Wellcome Genome Campus near Cambridge in the UK.

You will work within the Data Coordination and Archiving team to support the FAANG ( and IMAGE projects (

You will support FAANG consortium members submitting data to the EMBL-EBI archives and ensure the submitted metadata meets the FAANG-defined metadata standards. You will work with the Vertebrate Data Coordination sub-team to update the FAANG standards as requirements change and new technologies are adopted. You will also work to build tools to support both submission of data to EMBL-EBI archives and provide validation tools that support community members in meeting the defined standards. The team builds the FAANG data portal ( and you will help load data into this portal and improve its functionality. Finally, as part of the FAANG data coordination centre you will also help provision data to the value added resources hosted at EMBL-EBI such as Ensembl.

You will also work as part of the IMAGE consortium. You will help define the database superstructure needed to support a Europe wide catalogue of ex situ livestock gene banks for IMAGE. EMBL-EBI’s role in this project also involves assisting in submitting all animal and sample records from IMAGE in the BioSamples database and improving the ontological resources for the livestock community.

The Data Coordination and Archiving team is part of the Molecular Archive Resource cluster and as a member of this team you will work will all the archives at EMBL-EBI to support the livestock community in sharing and gaining access to well described, high quality sample and genomic data.

Your tasks will include:

  • Design and extension of services to support FAANG collaborators collecting high quality metadata for their samples and experiments;
  • supporting data flow into and from EMBL-EBI archives for FAANG and IMAGE;
  • working closely with collaborators who are running analyses within FAANG and IMAGE;
  • building distribution platforms for FAANG data;
  • supporting database design for the IMAGE central database;
  • representing FAANG, IMAGE and the institute at conferences.

You should hold an MSc, PhD or equivalent experience in Computer Science, Bioinformatics, Genetics or related fields including evidence of your ability to write, understand and maintain complex code.

Previous experience of managing biological data flows for complex projects in a production environment is advantageous, this includes an understanding of data exchange over wide area networks, defining structured metadata requirements and helping others meet these requirements, software design and automation. Evidence of working in a dynamic, team-based environment or contributing to a large, shared code-base is desirable.

We are looking for a highly motivated candidate with good communication and interpersonal skills. You will be a self-starter who is team-oriented and who can manage their own time to meet the needs of several projects. The key attributes sought are the ability to work in a team, excellent attention to detail, solid problem solving skills, and the desire to learn and improve. Furthermore, you should demonstrate ability to communicate both biological and computational ideas (orally and in writing), time management to deadlines, and a desire to work in an international environment.

The post holder must be proficient in object-oriented programming, and in developing software in a primarily Unix-based environment, and be familiar with development tools such as Git. Knowledge of Perl is also useful. Experience in developing computationally efficient solutions for managing complex data flows and familiarity with both relational databases and document stores would be an advantage.

How to Apply

To apply please submit a covering letter and CV, with two referees, through our online system.

About Our Organization

At EMBL-EBI, we help scientists realise the potential of ‘big data’ in biology by enabling them to exploit complex information to make discoveries that benefit mankind. Working for EMBL-EBI gives you an opportunity to apply your skills and energy for the greater good. As part of the European Molecular Biology Laboratory (EMBL), we are a non-profit, intergovernmental organisation funded by 22 member states and two associate member states and proud to be an equal-opportunity employer. Our 600 staff are engineers, technicians, scientists and other professionals from all over the world.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.

Social scientists report that the image of the 'lone scientist' might be deterring US students from STEM careers.