The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy, and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases, including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in five programs: Climate, Air Pollution, Nature and Urban Health; Environment and Health over the Lifecourse; Global Viral and Bacterial Infections; Malaria and Neglected Parasitic Diseases; and Maternal Child and Reproductive Health. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.WHAT WE ARE LOOKING FORISGlobal is seeking a postdoctoral researcher who is interested in providing support in performing bioinformatic analyses, interpreting the resulting data, and writing manuscripts related to the projects FIS 2020 "Genomic characterization of vulvar squamous cell carcinomas and its precursor lesions" and FIS 2023 "Gene expression profiles of the three subtypes of vulvar cancer." The overall goal of these projects is to explore the genomic and transcriptomic background of this type of cancer, which remains poorly characterized at the molecular level.The team is composed of two pathologists (both with shared dedication between hospital duties and research), one full-time post-doctoral researcher, three full-time PhD students in their first year, one part-time PhD student, and one program manager, based at ISGlobal, providing administrative support.TRAINING AND EXPERIENCE / QUALIFICATIONSPhD in Translational Medicine, Biology, Biomedicine, or related discipline.Masters in Bioinformatics or related training.Experience in designing and writing high-quality scientific papers.SPECIFIC REQUIREMENTSAdvanced skills in R software and statistics - capacity to manage and integrate complex data using adequate packages (essential).Capacity to filter, integrate and analyze large and complex datasets of genomic, transcriptomic, and clinical data and to interpret integrated results (essential).Previous research expertise in analyzing exome sequencing and gene expression data (essential).High level of enthusiasm and motivation; passion for research! (essential)KEY RESPONSIBILITIESThe main tasks will be to provide support in molecular data analysis, using a variety of bioinformatic tools, and interpretation of results, design and writing of manuscripts and grants. The candidate will be responsible for analyzing and interpreting the data and writing the resulting manuscripts in collaboration with other members of the team. The successful candidates are also expected to contribute to the supervision of junior members of the team and to participate in the scientific discussion of related projects.#J-18808-Ljbffr
