Data Engineer

We are recruiting for a Data Engineer to join to our multi-skilled Research
Informatics team at the Centre for Medicines Discovery (CMD) here at the
Nuffield Department of Medicine. The team are responsible for a wide range of
data management and analysis platforms in the biomedical space, working with
researchers locally and in national and international consortia.





Reporting to the Research Informatics SRF Coordinator, you will be embedded
within the Research Informatics team and work directly together with our
scientists and researchers within the CMD, across Oxford and with
collaborators and partners internationally. You will also work closely with
the NDM Biomedical Data Platform team who provide novel data integration and
visualisation solutions for multi-modal, multi-‘omic data.





You will be responsible for implementing end-to-end data engineering
solutions, ensuring that datasets and their metadata are captured in an
unambiguous manner to support research hypothesis generation. You will be
tasked with designing and developing novel methodologies, providing
performant, robust and scalable data products and services. You will act as a
source of information and advice to other members of the CMD on data capturing
and solutions for data analysis. You will also be responsible for ensuring
that datasets are appropriately annotated and made available in a manner which
is FAIR compliant (Findable, Accessible, Interoperable, Reusable) wherever
possible.





It is essential that you hold a Master’s degree in Bioinformatics,
Biochemistry, Computer Science, or a related subject. You will have
proficiency in coding in either Python or R and other scripting languages. You
will have experience of working with relational databases, including the
development of bespoke schemas, and writing performant SQL. Additionally, you
will have experience in managing large and diverse multimodal biomedical data
types. Finally, you will be able to organise and prioritise work efficiently
whilst delivering results to the required standard and to an agreed schedule,
along with evidence of ability to take a leadership role and drive project
completion, working independently, and organising and prioritising work to
deliver accurate results to the required standard and to an agreed schedule.





Applications for this vacancy are to be made online and you will be required
to upload a supporting statement and CV as part of your online application.
Your supporting statement must explain how you meet each of the selection
criteria for the post using examples of your skills and experience.





This position is offered full time on a fixed term contract for 3 years and is
funded by the Department.





Only applications received before 12 midday on 9 July 2024 will be considered.
Please quote **171147** on all correspondence.