Full Time Scientific Data Analyst Required at Mary Lyon Centre-Apply now

jobs pharmaguidelines; England; Hybrid; GBP 39,000 - 42,000; Full time

Job summary

A leading genetics research center in Oxfordshire is seeking a Scientific Data Analyst to join their data management team. The ideal candidate will have a PhD or MSc in life sciences and experience in data management, validation, and analysis. Responsibilities include developing data analysis pipelines, managing databases, and collaborating with technical teams. This fixed-term position offers a salary range of £39,375 to £41,843 and a hybrid working model.

Benefits

30 days of annual leave plus public holidays

Defined-benefit pension scheme

On-site canteen

Free parking

Qualifications

• Experience managing, validating, and analyzing scientific datasets.
• Advanced understanding of in-vivo experimentation.
• Strong communication skills and ability to work under pressure.

Responsibilities

• Utilize existing data management pipelines for validation of scientific datasets.
• Develop and maintain data analysis pipelines for biological datasets.
• Manage and maintain database tables and relationships.

Skills

Data validation

Collaborative communication

Problem-solving

Proactive learning

Education

PhD or MSc in life sciences or equivalent experience

Tools

Python

SQL

Gitlab

Job description

MRC – Mary Lyon Centre – MRC Harwell

Location: Oxfordshire, Hybrid
Salary: £39,375 to £41,843 per annum, dependent on skills and experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 27th June 2024
Closes: 21st July 2024
Job Ref: MLC 2436

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 our data management team at the MLC. This role provides an exciting opportunity to apply knowledge of in-vivo biological data and develop skills in data management.

Key Responsibilities

• Utilize existing data management pipelines for comprehensive validation of complex scientific datasets.
• Develop and maintain data analysis pipelines for various biological datasets using Python, SQL, and database management tools.
• Collaborate with animal technicians and researchers to determine steps necessary for data validation.
• Identify, review, investigate, and resolve issues within in-vivo datasets.
• Manage and maintain database tables and relationships within the database.
• Work daily with the data management team to discuss technical issues and inform key stakeholders about plans and solutions.
• Communicate effectively within the team and with stakeholders regarding data, data issues, and processes.
• Structure communication with both technical and non-technical teams to diagnose data issues and ensure systematic logging of information.
• Support and mentor junior team members.
• Collaborate with software developers to standardize and automate data upload and validation processes.
• Ensure data validation is completed according to schedule, prioritizing work to maintain timelines.
• Contribute to data standards, documentation, protocols, and Gitlab repositories.
• Expand knowledge of in-vivo measurements as MLC innovates and integrates new datasets, such as telemetry and video-tracking data.

Person Requirements

Education/Qualifications/Training

Essential:

• Qualification in the life sciences (PhD or MSc) or equivalent experience.

Desirable:

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

Previous Work Experience

Essential:

• Experience managing, validating, and analyzing scientific datasets.
• Consistency and independence in long-term project work.
• Experience in decision-making and communicating with teams and stakeholders.

Desirable:

• Independent work on a technical project.
• Experience in building and using technical pipelines for data management.

Knowledge and Experience

Essential:

• Advanced understanding of in-vivo experimentation.
• Technical skills in at least one of the following: coding, SQL, database management, Excel VBA, Tableau/Power BI, or other relevant tools.
• Ability to understand the complexity of scientific datasets.

Desirable:

• Knowledge of data management and analysis concepts.
• Understanding of data repository architecture and relational database management.
• Experience with statistical methods such as power calculations and linear mixed-effect models.

Personal Skills/Behaviours/Qualities

Essential:

• Strong communication skills.
• Proactive and self-organized.
• Capable of working under pressure to meet deadlines.
• Ability to develop and maintain professional working relationships.
• Willingness to learn new technical skills as project goals evolve.

Benefits

• 30 days of annual leave 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. The closing date for applications is 21st July 2024, but applications will be reviewed on a rolling basis, and we reserve the right to close the advert early.

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