PhD student immune-cancer-microbiome research (computational biology)
Dec 01, 2022
Medical University of Vienna – Center for Cancer Research
Jun 29, 2022
The research group of Thomas Vogl (https://scholar.google.at/citations?hl=de&user=jua0UDgAAAAJ&view_op=list...) at the Center for Cancer Research at the Medical University of Vienna is looking for a PhD student candidate working on a project at the intersection of immunology, microbiome, and cancer research. We offer a fully funded PhD position with an expected duration of 3 to 4 years. Project description Our group studies how adaptive immune responses (antibodies in particular) against microbiota modulate human health and how these processes influence the response to cancer treatments. We use high-throughput immunoassays, liquid handling robots, and next generation sequencing to profile patients’ immune systems. These datasets are analyzed by bioinformatics and machine learning methodologies. Building on a novel, massively parallel phage display technology, this project will investigate the role of antibody repertoires against microbiota in cancer. Start date: 1st of September 2022 (with some flexibility) We offer • Exciting translational research around multidimensional datasets, that are generated by proprietary high-throughput technologies (antibody binding data against 100,000s of antigens, microbiome data, NGS, machine learning…) • Multi-national and interdisciplinary open work environment • Outstanding computational resources and support services • Internationally competitive salary with full benefits Your profile • completed MSc. degree (or soon to be completed) in in bioinformatics, computational biology, computer science, data science, machine learning, or similar fields • experience with Phyton, coding (infrastructure, version management such as GitHub), statistical analyses, data science, and machine learning desirable • experience with Illumina NGS data (barcoding, demultiplexing), microbiome data (metagenomics, 16S), sample management (SQL databases), or visualization of large data sets advantageous (but not required) • interest to learn about the underlying biology of the immune-cancer-microbiome axis • good written and oral communication skills in English • team spirit and independent problem-solving skills Application Interested candidates should send their application (motivation letter, CV, contact details of two references, and scans of transcripts [including grades of MSc and BSc studies]) to thomas.vogl[at]aon.at with the subject “PhD application immune-cancer-microbiome research (computational biology) - <last name>”.