SQL Database Analyst

4 weeks ago


Milton Keynes Buckinghamshire, United Kingdom Fuel Recruitment Full time

To provide software design and engineering in support of laboratory operations and enterprise management.
Develop workflows and interfaces between our commercial Laboratory Information Management System (LIMS) and our internal software platforms. This will include developing automation scripts, data validation rules, systems monitoring and alerting, and complex calculations.
Deliver software engineering solutions of a highly technical nature for the use of lab and other business functions.
Contribute strongly to software engineering standards, documentation, tools, methods, and environments, delivering to fit a standardised approach to software engineering across the company.
Collaborate with the wider business and informatics team to create a unified and integrated software portfolio supporting the whole UK Biocentre business-as-usual operation.
Deliver reporting solutions in the form of web pages, dashboards and formatted reports for external customers.
Investigate and resolve data issues relating to problems with laboratory and business test cases.
Monitor and maintain the high performance and reliability of laboratory and enterprise software solutions.
Interact extensively with clinical LIMS administrators, senior lab operatives, and the lab management team, exploiting software opportunities to improve our end-to-end laboratory workflow and enhance standard operating procedures.
Collaborate closely with infrastructure support colleagues in the Informatics team to deliver solutions on well-architected, secure platforms and network configurations.
Demonstrable experience in software engineering, automation and reporting experience with scripting languages, preferably Python.
SAP) and/or Business Reporting (e.g. Sound experience in software configuration management, software testing/validation discipline and solutions delivery processes.
Relational database design and usage, including complex SQL coding and performance.
Python data manipulation libraries (numpy, pandas, pyodbc) and GUI development (kivy, tkinter, PyQt5)
Using Python to manipulate flat files (JSON, XML, CSV) and interface with databases.
Git and JIRA software management tools.
Relational database design and usage, specifically in Postgre.
Basic Linux systems administration at the command line, including editors, shell scripting and file management.


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