We wish to recruit an experienced Senior Data Manager to join the Cambridge-GSK Translational Immunology Collaboration (CG-TIC), a new partnership between the University of Cambridge and GSK. Focused on kidney and respiratory diseases, the collaboration leverages the world class capabilities of Cambridge University to provide transformational impact for patients, while aligning with GSK R&D strategic priorities. The CG-TIC Senior Data Manager is a key role that will oversee delivery of data management and research software solutions for curating, managing and analysing the range of data that will be generated and accessed by CG-TIC researchers. Data will include pseudonymized clinical metadata and genomic experimental data and will be integrated and analysed through established platforms including the Cambridge Centre for Data Driven Discovery (C3D3) and the Secure Research Computing Platform (SRCP).

Who you'll be working with

The role is based in the Department of Medicine, working with researchers based in the Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID) and the Victor Phillip Dahdaleh Heart & Lung Research Institute (HLRI) who are part of the CG-TIC. You'll also need to liaise with colleagues in the University Information Service and with partners at GSK. You will also oversee the work of a data administrator and support colleagues across CG-TIC to access and manage complex and varied datasets.

What you will do

You'll be working on a diverse range of projects integrating clinical and experimental data, making cutting edge tools and platforms accessible, facilitating analysis and expansion of the platform. You will be comfortable facilitating user engagement, adapting your approach to meet the needs of the project, client and team. You will be working with advanced tools and methods on projects with both experienced users and novice users and will have an engaging approach to both. You will be enabling users to exploit the capabilities of the latest generation of cutting-edge supercomputing hardware. You will be able to build relationships and have experience of influencing and negotiating with stakeholders to achieve goals.You will be working with a wide range of stakeholders, and good organisational and communication skills are key to the role.

What you will have

Experience writing and maintaining high-performance application code, with experience of the key languages commonly used in scientific computing such as C, C++ (preferred), Fortran or Python. Experience with at least one of the frameworks used to exploit large, modern parallel computers such as MPI, OpenMP or CUDA is highly desirable. Some high-level knowledge of the hardware (i.e. CPUs, GPUs and low-latency interconnects) that make up a modern supercomputer along with experience of working in the Linux software environment will be valuable. An interest in or experience in the emerging areas of machine learning and data science. Excellent communication skills.

We support flexible and family-friendly working and are open to non-standard working patterns. While this is advertised as a full-time role, we would consider applications from candidates who are looking to work less than full-time hours and are open to applicants who live outside Cambridge but are willing to travel to Cambridge when required.

Informal enquiries regarding this position are strongly encouraged: contact Dr Nicholas Horrocks (), Programme Manager, CG-TIC.

Fixed-term: The funds for this post are available for 2 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check.

The closing date for applications is: 17th November 2024

The interview date for the role is: To be confirmed

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.