Postdoctoral Research Associate in Systems Medicine

Postdoctoral Research Associate in Systems Medicine - Strand, London, WC2R 2LS About Us King's College London (KCL) is one of the world's leading research universities, renowned for its excellence in education, groundbreaking research, and innovation. Our Faculty of Life Sciences & Medicine (FoLSM) is dedicated to pushing the frontiers of medical science to improve healthcare outcomes. Within FoLSM, the School of Immunology & Microbial Sciences (SIMS) plays a key role in research and education, with a focus on understanding the mechanisms of disease and developing new therapies. Apply now, read the job details by scrolling down Double check you have the necessary skills before sending an application. This role is located within the prestigious Roger Williams Institute of Liver Studies, where our researchers are at the forefront of liver disease research. As part of this vibrant academic environment, you will join the Zhang group, an innovative research team at the intersection of systems medicine, bioinformatics, and liver disease. Based at the James Black Center, Denmark Hill campus, our team works on understanding and modeling metabolic and inflammatory processes that drive liver disease progression. We are dedicated to advancing scientific knowledge and translating our research into real-world medical solutions, offering a dynamic and collaborative setting for cutting-edge research.  About The Role We are seeking a highly motivated Postdoctoral Research Associate to join a multi-disciplinary research group led by Dr N.Safinia and Prof. A.Sanchez-Fueyo at King’s College London’s Roger Williams Institute of Liver Studies. This role offers a unique opportunity to contribute to innovative research at the forefront of systems medicine, focusing on the progression of liver cancer and immune mediated liver damage. The successful candidate will work within a multidisciplinary team to unravel the metabolic drivers of HCC biology and transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques such as MALDI-MSI metabolic profiling and enzyme-constrained GEMs, the candidate will generate region-specific models to predict metabolic fluxes associated with liver disease. This research will provide key insights into the metabolic alterations driving  T cell function within the liver microenvironment in various liver diseases, including transplant rejection and cancer, with the ultimate goal of contributing to the development of novel diagnostic and therapeutic strategies. The post is based at the James Black Centre, Denmark Hill campus, and the candidate will report directly to Dr. N.Safinia and Prof. A.Sanchez-Fueyo. The successful candidate will collaborate closely with clinicians, computational biologists, and experimentalists, ensuring that computational models are seamlessly integrated with experimental data. Responsibilities also include the supervision of junior researchers and the preparation of high-impact research publications. This role is ideal for individuals with expertise in systems biology, bioinformatics, and multi-omics data analysis, who are eager to make significant contributions to the field of liver disease research. This is a fixed-term position for 2 years,providing an exciting opportunity to be part of a dynamic and forward-thinking research group. This is a full time 35 hours per week, and you will be offered a fixed-term contract until 14 January 2028 . Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. xpwpeyx This entitlement, from the  Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the  Centre for Research Staff Development for more information.