Job Summary Table of Data Manager: Senior Research Associate

Job Description Summary

The University of Cambridge is seeking a Senior Research Associate to serve as Data Manager within the Genomics and Bioinformatics Core (GBC) at the Institute of Metabolic Science. This role offers a unique opportunity to lead data management initiatives in cutting-edge metabolic research.

Responsibilities

• Project Management: Oversee multiple projects and studies, ensuring timely execution and accurate results. Assign tasks to team members, optimizing team capabilities to support scientific needs.

• Data Handling and Storage: Ensure proper handling, processing, and storage of data, with a focus on human clinical and participant identifiable information. Develop and execute long-term strategies for data collection and management.

• Technical Leadership: Collaborate with various scientific groups to deliver data services supporting genomics and functional genomics research. Stay abreast of rapidly evolving technologies in the field.

• Training and Development: Lead training initiatives for institute investigators on ‘Data FAIRification’, ensuring data is Findable, Accessible, Interoperable, and Reusable.

Benefits and Perks

• Opportunity to work at a world-renowned research institution
• Collaboration with leading scientists in metabolic research
• Access to state-of-the-art genomics and bioinformatics facilities
• Fixed-term contract until 31.03.2030

Company Overview

The University of Cambridge, founded in 1209, is one of the world’s oldest and most prestigious universities. It consistently ranks among the top institutions globally for research and education. The Institute of Metabolic Science – Metabolic Research Laboratories is at the forefront of research into metabolic disorders, leveraging advanced genomics and bioinformatics approaches.

Company Culture

The University of Cambridge fosters an environment of academic excellence, innovation, and collaboration. Researchers are encouraged to push boundaries, think critically, and contribute to groundbreaking discoveries. The institute values interdisciplinary research and promotes a culture of continuous learning and knowledge sharing.

Career Growth Opportunities

This role offers significant potential for career advancement in the fields of genomics, bioinformatics, and data management. The successful candidate will have the opportunity to:

• Develop expertise in cutting-edge genomic technologies
• Build a network with leading researchers in metabolic science
• Contribute to high-impact publications and research projects
• Enhance leadership and project management skills

Diversity, Equity, Inclusion, and Belonging

The University of Cambridge is committed to fostering a diverse and inclusive research environment. We believe that diversity of thought and background enriches our research community and leads to more innovative and impactful science.

Equal Opportunity Statement

The University actively supports equality, diversity, and inclusion, encouraging applications from all sections of society. We are committed to the principle of equal opportunity in education and employment.

Remote Work Policy

This position requires on-site presence at the Institute of Metabolic Science – Metabolic Research Laboratories in Cambridge, UK. However, the university supports flexible working arrangements where possible, in line with the requirements of the role.

Application Process

1. Review the job description and ensure you meet the qualifications.
2. Prepare your application materials, including a CV, cover letter, and research proposal (max 3 pages).
3. Register an account on the University of Cambridge recruitment system.
4. Submit your application online through the provided link.

Application Deadline

Applications must be submitted by 2nd August 2024.

How to Apply

To apply for this position, please click the ‘Apply’ button on the job posting page and follow the instructions to register an account and submit your application online.

Ensure you upload: – A covering letter outlining how you match the criteria and your motivation for applying – Your CV – A research proposal (no more than 3 pages in length)

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Social Media Links

• University of Cambridge LinkedIn
• University of Cambridge Twitter
• University of Cambridge Facebook

FAQs or Additional Information

Q: What level of appointment can I expect?

A: Appointment will be made at either the Research Associate (RA) or Senior Research Associate (SRA) level, depending on the candidate’s skills and experience. SRA appointments require evidence of an independent research reputation.

Q: Are there any additional checks required for this position?

A: Yes, the successful candidate will be required to undergo a basic disclosure (criminal records check), a health assessment, and a security check upon accepting an offer of employment.

Q: When is the interview period for this role?

A: Interviews are scheduled to take place between 12/08/24 and 23/08/24.

This exciting opportunity at the University of Cambridge offers a chance to be at the forefront of genomics and bioinformatics research in metabolic science. As the Data Manager for the Genomics and Bioinformatics Core, you’ll play a crucial role in advancing our understanding of metabolic disorders through effective data management and analysis.

Your expertise in handling complex datasets, combined with your leadership skills, will be instrumental in driving forward multiple research projects and ensuring the institute’s data practices meet the highest standards of accessibility and usability. This position not only offers the chance to work with cutting-edge technologies but also to shape the future of data management in genomic research.

If you’re passionate about leveraging data to drive scientific discovery and have a background in genomics or bioinformatics, we encourage you to apply. Join our team at the University of Cambridge and be part of groundbreaking research that has the potential to transform our understanding of metabolic health.

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