Bioinformatics Scientist - Oncology (100%)
Position description :
We seek an experienced computational biologist/data scientist that will play a key scientific role in advancing the MP pipeline by leveraging innovative computational analyses and large scale genomic datasets to empower data-driven decisions in collaboration with research, translational and clinical colleagues. This individual will design and execute workflows for analysis, statistical modeling and the generation of hypotheses from high-dimensional molecular profiling data to identify and validate targets in tumor types with high unmet medical need, identify indications and patient subsets for drug candidates and biomarkers for selecting patients and assessing drug action. This challenging and diverse position will include the following tasks and responsibilities: Integrate diverse data sources (e.g., patient mutation, proteome and transcriptome profiling, functional genomic screens) to identify new cancer targets for defined patient populations for the application of DARPin therapeutics; Collaborate with laboratory and in vivo scientists to design, analyze, and interpret experiments to validate targets, understand compound mechanism of action, and identify biomarkers for patient selection and target engagement; Design and execute a strategy for the generation of omics data from clinical studies, including vendor outreach; Support clinical development teams with data analysis and interpretation during early clinical trials; Gather, curate and process publicly available datasets; Develop and implement analysis pipelines for omics data analysis and biomarker identification; Stay at the forefront of the field by benchmarking and implementing new omics analysis and AI methods.
We seek an experienced computational biologist/data scientist that will play a key scientific role in advancing the MP pipeline by leveraging innovative computational analyses and large scale genomic datasets to empower data-driven decisions in collaboration with research, translational and clinical colleagues. This individual will design and execute workflows for analysis, statistical modeling and the generation of hypotheses from high-dimensional molecular profiling data to identify and validate targets in tumor types with high unmet medical need, identify indications and patient subsets for drug candidates and biomarkers for selecting patients and assessing drug action. This challenging and diverse position will include the following tasks and responsibilities: Integrate diverse data sources (e.g., patient mutation, proteome and transcriptome profiling, functional genomic screens) to identify new cancer targets for defined patient populations for the application of DARPin therapeutics; Collaborate with laboratory and in vivo scientists to design, analyze, and interpret experiments to validate targets, understand compound mechanism of action, and identify biomarkers for patient selection and target engagement; Design and execute a strategy for the generation of omics data from clinical studies, including vendor outreach; Support clinical development teams with data analysis and interpretation during early clinical trials; Gather, curate and process publicly available datasets; Develop and implement analysis pipelines for omics data analysis and biomarker identification; Stay at the forefront of the field by benchmarking and implementing new omics analysis and AI methods.
About the company
