Merck Scientific Informatics Postdoctoral Fellow - Imaging Genomics
The Imaging Genomics postdoctoral fellow will develop analysis techniques to integrate imaging and genomic data for identifying high-confidence genesets for improved diagnosis, patient stratification and assessment of therapeutic response. The researcher will apply advanced data analysis techniques from to extract meaningful information from high-dimensional, multi-modality data. The project will include analysis of both public and internal imaging and genomic datasets in oncology.
About the department
The Scientific Informatics department partners with diverse business areas across Merck and external organizations from across the healthcare landscape to develop transformative informatics capabilities for developing and delivering products focused on unmet patient need.
The Scientific Informatics Postdoctoral Research Fellow Program aims to be a best-in-industry program for outstanding postdoctoral researchers, designed to provide a stimulating research environment, with access to challenging problems, massive data sets, and collaborations with teams of talented professionals from many different disciplines. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery.
- Must possess a PhD with a concentration in a mathematically intensive discipline. Examples include applied mathematics, electrical engineering, biomedical engineering, computer science, bioinformatics, statistics
- The position requires extensive knowledge in one and preferably two or more of the following areas: Machine learning, data mining, pattern recognition, image processing, signal processing, bioinformatics, statistics
- Research experience in analyzing high dimensional data from multiple modalities
- Candidate must be motivated, a broad thinker of approaching problems in new ways, and an excellent communicator and team player
Duration: 1 year