Utrecht, Netherlands
Internship Explorer
Internship Explorer
Join our Translational Data Science team in Utrecht to work on a research project focused on ovarian cancer, a disease characterized by substantial molecular heterogeneity and variable response to targeted therapies. A key open question is how underlying gene regulatory networks define tumor states and whether these regulatory programs influence the expression and biology of clinically relevant targets such as FOLR1 (Folate Receptor 1). In this project, you will investigate regulatory network architecture in ovarian cancer using multimodal network modeling approaches. You will analyze molecular data from ovarian cancer cohorts to reconstruct regulatory network modeling (e.g., PANDA, doi: 10.1093/bioinformatics/btx139 ) and identify coordinated transcriptional programs that define distinct tumor states. You will characterize these regulatory programs and assess how they relate to therapeutic targets expression and associated biological processes. This includes identifying key transcription factors, pathways, and tumor microenvironment features that may modulate or co-occur with the biology of therapeutic targets. The analysis will leverage both internal and public datasets, and findings will be evaluated for robustness across independent cohorts. Where relevant, results will be interpreted in the context of ongoing translational research efforts. This project will provide insight into the regulatory mechanisms shaping ovarian cancer biology and their potential impact on therapeutically relevant targets. Does this sound like something that interests you? We look forward to receiving your application and exploring the possibility of you joining our team to contribute to the advancement of antibody therapeutics! Help us get to know you by submitting a CV and motivational letter.
