Team Member: Javier Haurat
Role: Project and Data Services Manager
Javier manages a multi-disciplinary team of five, and is someone that BioGrid researchers work with early on in their engagement with the organisation.
Javier’s team works on two areas that both fall into the general description of “getting data and transforming it”:
- Data Services, helping BioGrid partners refine their research questions and work with data on BioGrid’s platform to ensure they get the best result when searching for data sets;
- Bespoke projects, helping BioGrid partners build custom solutions – an example would be the build of a web-based registry to collect patient data for national research initiatives. This work comprises around two-thirds of the work that comes through Javier’s team.
The team works closely together to support each other in fulfilling BioGrid partner requirements and relishes the opportunity to help solve the challenges faced by unique projects needs and objectives.
Javier is well-known to most of BioGrid partners, as he frequently works with them at the beginning of their engagement with BioGrid.
Who is Javier?
Javier joined BioGrid in 2015 as a project officer, after completing a degree in Applied Science (Laboratory Medicine) and a diploma in Biotechnology at RMIT.
His first roles at BioGrid involved working with data, but before long he moved into project management and then progressed to his current role managing the growing team while still ‘getting his hands dirty’ in the data with BioGrid partners.
During his time at BioGrid, he’s witnessed a huge jump in the sophistication of what the organisation can offer, which has grown from the need in the medical research community for what BioGrid provides.
Javier’s tips for research project success
- Our Data Services team understands data structures used in the data sets linked to the BioGrid platform and is experienced in ensuring researchers get the right data for their research objectives – don’t hesitate to use their expertise!
- Allow time for data cleansing. For many different reasons, some data sets may not be quite what researchers expect, so they may need to do some work on the data set before they can use it for their defined purpose.