A bio-informatic position focused on the analysis of complex datasets including: DNA-sequencing, RNA-sequencing, metabolomics and drug sensitivity data.
Specific emphasis will be placed on delineating the impact of specific pathways on disease progression and therapeutic response using data from clinically annotated tissue specimens and patient-derived models.
Ideal candidates will have experience with bioinformatics, have a track record of leading projects to publication, and be creative in using computational methods to interrogate complex biological problems.
Applicants will will be expected to direct independent projects in a multi-disciplinary setting, assist in mentoring junior lab members, and contribute to grant applications. A long-term goal of the project is to bring the research to clinical application and team memberswill have the opportunity to directly contribute to clinical trial development and interactions with the multi-disciplinary teams in molecular oncology.