Scientific Data Analyst
| Posting date: | 27 June 2024 |
|---|---|
| Salary: | £39,375 to £41,843 per year |
| Hours: | Full time |
| Closing date: | 21 July 2024 |
| Location: | Oxford, Oxfordshire |
| Remote working: | Hybrid - work remotely up to 1 day per week |
| Company: | Medical Research Council |
| Job type: | Temporary |
| Job reference: | MLC 2436 |
Summary
Scientific Data Analyst
Mary Lyon Centre at MRC Harwell
Harwell Campus, Oxfordshire – hybrid working option
Full time (36 hours per week)
Fixed term contract for 30 months
£39,375 - £41,843 per annum, dependent on skills and experience
About Us:
The Mary Lyon Centre at MRC Harwell (MLC) https://www.har.mrc.ac.uk/ 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 Mary Lyon Centre at MRC Harwell (MLC). This is an opportunity to use knowledge of in-vivo biological data to build skills in data management.
The Mary Lyon Centre runs and develops specialised screening tests to investigate mouse gene function and develop preclinical models for human genetic disorders. These tests cover behavioural, physiological and metabolic assays. These generate complex datasets that present unique challenges to data management and analysis. The data management team works to validate data prior to its release to researchers and collaborators. This work will involve maintaining and developing validation pipelines, managing data and communicating about data quality across projects, and improving our capacity to validate scientific datasets.
This role would suit a recent PhD graduate in life-sciences interested in applying their knowledge of in-vivo or other datasets and developing skills in data management and data validation.
Main Duties/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 Required:
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 Required:
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:
Choosing to come to work at the MRC (part of UK Research and Innovation (UKRI)) means that you will have access to a whole host of benefits, from a defined-benefit pension scheme and excellent holiday entitlement, to access to employee shopping/travel discounts and a salary sacrifice cycle to work scheme. In addition, you will have the opportunity to contribute to the work of a world-class medical research organisation.
How to Apply:
For full details click apply and visit our careers page.
The closing date for applications is Sunday 21 July 2024, however we will be reviewing applications on a rolling basis and reserve the right to close the advert early.
Please quote reference: MLC 2436
Mary Lyon Centre at MRC Harwell
Harwell Campus, Oxfordshire – hybrid working option
Full time (36 hours per week)
Fixed term contract for 30 months
£39,375 - £41,843 per annum, dependent on skills and experience
About Us:
The Mary Lyon Centre at MRC Harwell (MLC) https://www.har.mrc.ac.uk/ 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 Mary Lyon Centre at MRC Harwell (MLC). This is an opportunity to use knowledge of in-vivo biological data to build skills in data management.
The Mary Lyon Centre runs and develops specialised screening tests to investigate mouse gene function and develop preclinical models for human genetic disorders. These tests cover behavioural, physiological and metabolic assays. These generate complex datasets that present unique challenges to data management and analysis. The data management team works to validate data prior to its release to researchers and collaborators. This work will involve maintaining and developing validation pipelines, managing data and communicating about data quality across projects, and improving our capacity to validate scientific datasets.
This role would suit a recent PhD graduate in life-sciences interested in applying their knowledge of in-vivo or other datasets and developing skills in data management and data validation.
Main Duties/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 Required:
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 Required:
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:
Choosing to come to work at the MRC (part of UK Research and Innovation (UKRI)) means that you will have access to a whole host of benefits, from a defined-benefit pension scheme and excellent holiday entitlement, to access to employee shopping/travel discounts and a salary sacrifice cycle to work scheme. In addition, you will have the opportunity to contribute to the work of a world-class medical research organisation.
How to Apply:
For full details click apply and visit our careers page.
The closing date for applications is Sunday 21 July 2024, however we will be reviewing applications on a rolling basis and reserve the right to close the advert early.
Please quote reference: MLC 2436
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