Scientific Data Analyst

About Us:

The Mary Lyon Centre at MRC Harwell (MLC) is located in an expanding science and innovation park in Oxfordshire and is an internationally renowned centre at the forefront of genetics research

About the Role:

We are seeking a scientific data analyst to join the data management team at the MLC. This is an opportunity to use knowledge of in-vivo biological data to build skills in data management.

Key Responsibilities:

• Use existing data management pipelines to conduct comprehensive data validation of numerous complex scientific datasets
• Learn skills to develop and maintain data analysis pipelines for varied biological datasets (Python, SQL, database management)
• Use knowledge of in-vivo measurements and liaise with animal technicians and researchers to determine necessary steps in data validation
• Flag, review, investigate and resolve issues in in-vivo datasets
• Manage and maintain database tables and relationships within database
• Work day-to-day within the data management team, discussing current technical issues and informing key stakeholders on plans and solutions
• Communicate effectively to the data management team and stakeholders when discussing and presenting data, data issues and processes
• Structure communication with technical and non-technical teams to diagnose data issues and ensure information is logged systematically
• Support and mentor junior team members
• Collaborate with software developers to standardise and automate data upload and validation
• Ensure that data is validated according to schedule, prioritising work to ensure that schedules are maintained
• Contribute to data standards, documentation, protocols and to Gitlab repositories
• Expand knowledge of in-vivo measurements as MLC innovates and integrates new datasets, such as those for telemetry and video-tracking

Person Requirements:

Education/Qualifications/Training:

Essential:

• Qualification in the life sciences (PhD or MSC) or strong equivalent experience

Desirable:

• Project management training or qualifications
• Training or qualification in relevant technical skill such as coding or database management

Previous Work Experience:

Essential:

• Experience of managing, validating and analysing scientific datasets
• Demonstration of consistency and independence when working on long-term projects
• Experience of making decisions and communicating to teams and stakeholders

Desirable:

• Evidence of working independently on a technical project
• Experience in building and using technical pipelines for data management

Knowledge and Experience:

Essential:

• Advanced understanding of in-vivo experimentation
• Evidence of technical skill and aptitude in at least one of the following: code, SQL, database management, Excel VBAs, Tableau/Power BI or others if justified
• Ability to grasp complexity of scientific datasets

Desirable:

• Knowledge of concepts in data management and data analysis
• Understanding of data repository architecture and relational database management
• Experience of statistics such as power calculations and linear mixed-effect models

Personal skills/Behaviours/Qualities:

Essential:

• Possess strong communication skills
• Be proactive and self-organised
• Capable of working under pressure to meet deadlines
• Able to develop and maintain effective professional working relationships
• Willing to learn new technical skills as project goals change

Benefits:

• Annual leave is 30 days per annum, plus 10.5 public holidays and Privilege days
• Defined-benefit pension scheme
• On site canteen
• Free parking

 How to Apply: For full details and to apply please click the 'Apply' button (above) quoting reference MLC 2436 

Closing date for applications is 21 July 2024, applications will be reviewed on a rolling basis and we reserve the right to close the advert early.

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