PhD Student in Computational Infection Genomics | PhD Student (m/w/d)
Medizinische Hochschule Hannover (MHH)
Job Summary
This PhD position at TWINCORE Centre for Experimental and Clinical Infection Research offers a unique opportunity to work at the intersection of human genetics and virology. As a doctoral researcher in the Computational Virology group, you will focus on developing genetic risk scores for severe Respiratory Syncytial Virus (RSV) infections to enable individualized medical prevention and therapy. Your day-to-day work involves analyzing human genomic and transcriptomic data from patient cohorts to identify genetic variants associated with disease severity. Additionally, you will investigate the role of transposable and endogenous viral elements in RSV infection. This role is highly collaborative, working closely with clinical and experimental teams within the RESIST Cluster of Excellence. It is an attractive position for those seeking to apply bioinformatics and statistical skills to real-world medical challenges while being embedded in a world-class scientific environment in Hannover, Germany.
Required Skills
Education
Master's degree (or equivalent) in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related field.
Experience
- Professional experience in computational biology, bioinformatics, statistics, or computer science
- Experience in programming with Python or R
- Experience working with large biological datasets
- Experience with Linux/UNIX environments and Git version control is preferred
Languages
Additional
- The position is a part-time role (25.03 hours per week) initially limited to three years. Candidates must be willing to work in Hannover, Germany. Work is performed within the RESIST Cluster of Excellence framework.