What are the responsibilities and job description for the Bioinformatics Analyst III position at Randstad Life Sciences US?
3 Months
REMOTE
Job Description
The Genomic Research Center Computational Oncology group (GRC-CO) is seeking a highly motivated computational biologist/bioinformatics scientist to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment of cancer. GRC is a center of excellence for bioinformatics, functional genomics, human genetics, and genomic medicine. The GRC works across all R&D as well as other areas such as process sciences and corporate strategy.
The successful candidate will have the opportunity to work in a fast-paced and highly collaborative environment to contribute to oncology discovery and clinical development programs (including therapies based on antibody-drug conjugates, small molecule inhibitors, protein degraders, etc.). They will be responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical modeling and bioinformatics methods, integrating large scale multi-modal datasets to derive quantitative biological insights, and communicating scientific findings to project teams.
REMOTE
Job Description
The Genomic Research Center Computational Oncology group (GRC-CO) is seeking a highly motivated computational biologist/bioinformatics scientist to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment of cancer. GRC is a center of excellence for bioinformatics, functional genomics, human genetics, and genomic medicine. The GRC works across all R&D as well as other areas such as process sciences and corporate strategy.
The successful candidate will have the opportunity to work in a fast-paced and highly collaborative environment to contribute to oncology discovery and clinical development programs (including therapies based on antibody-drug conjugates, small molecule inhibitors, protein degraders, etc.). They will be responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical modeling and bioinformatics methods, integrating large scale multi-modal datasets to derive quantitative biological insights, and communicating scientific findings to project teams.
