IMPORTANT: This Advertiser has requested that applicants MUST be National Residents / Valid Work Permit-holders. Other applicants need not apply.
This post will contribute to development of new data analysis and informatics capabilities such as machine learning techniques for data pattern analysis from senor networks, remote sensed and field survey combined with statistical and process models to understand environmental dynamics or developing linked data methods to promote data interoperability.
You should have degree level qualification in a computational and/or numerical science and either a PhD or MSc and/or post-degree experience in automated data systems development. You will need knowledge and demonstrable skills in design and development of automated data synthesis and analysis pipelines preferably within scientific research.
Key purpose of role:
- To support the CEH Science Strategy through developing new environmental informatics capabilities for analysis and interpretation of data.
- To design and implement environmental information systems to enable integrated storage, processing and exploitation of CEH scientific data resources.
Skills required:
- Ability to work effectively within an informatics team and communicate technical concepts to environmental scientists
- Ability to initiate new ideas and contacts with scientists to address EI requirements
- Ability to develop external contacts to identify and implement best practice regarding data management and EI.
- Ability to work independently to meet project targets and deadlines
- Ability to process and transform data using scripting languages such as Python
- Knowledge of computational techniques for data analysis such as machine learning
- Ability to create metadata models and storage systems using standards such as UK GEMINI
- Ability to create and manipulate data using XML and related mark-up formats
- Knowledge of linked data formats and manipulation of such data in triple stores (e.g. using SPARQL) is desirable
Knowledge of international data standards relating to geo spatial data is desirable. Understanding of ontology and vocabulary development would be advantageous.
To apply please go to http://topcareer.jobs/Vacancy/irc208578_6068.aspx and search for reference IRC208578 and follow the application directions.
Closing date 9th November 2015. No agencies please.
Data Scientist – IRC208578
Band 6 – Based in Lancaster
Permanent – 37 hours per week
