Ludwig Cancer Research is an international collaborative network of acclaimed scientists that has pioneered cancer research and landmark discovery for more than 40 years. Ludwig combines basic science with the ability to translate its discoveries and conduct clinical trials to accelerate the development of new cancer diagnostics and therapies. Since 1971, Ludwig has invested nearly $2.7 billion in life-changing science through the not-for-profit Ludwig Institute for Cancer Research and the six U.S.-based Ludwig Centers.

Scientists at the Oxford Branch of the Ludwig Institute for Cancer Research focus on a variety of subjects of importance to cancer research. These range from intracellular signaling, genomics and epigenetics to tumor immunology, oxygen sensing and angiogenesis. With stable core funding from Ludwig Cancer Research and access to state-of-the-art facilities in the renowned academic environment of the University of Oxford at the Old Road Research Campus, our PIs have both the opportunity and means to pursue groundbreaking basic and translational scientific research.

Data Processing Engineer

Nuffield Department of Medicine (NDM), Ludwig Institute for Cancer Research and Oxford Big Data Institute, Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford, UK.

Grade 7: £32,236 - £39,609 p.a.

Only online applications received by 12.00 noon on June 21, 2019, will be considered.

Ludwig Oxford seeks an enthusiastic and motivated data processing engineer to join its research team. Together with our computational biologists, the successful applicant will design and implement an automated pipeline to take raw data and turn them into files ready for analysis by Ludwig scientists. The applicant must have a degree in computer science, bioinformatics, biology, or the equivalent. If you are ready to take on responsibility, work in a diverse and multi-disciplinary team, and want to contribute directly to our efforts to beat cancer, apply now.

A more detailed description of the job, the particular skills and experience required and all documents for the application are available here.

Applications must be made online by 12 noon BST on June 21, 2019.


Oxford Branch