Planet Pharma
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Bioinformatics Analyst
Posted: 01/29/2024
2024-01-29
2024-03-20
Employment Type:
Contract
Job Category: Data Sciences
Job Number: 597846
Is job remote?: Yes
Country: United States
Job Description
Target PR Range: 47-57/hr
*Depending on experience
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.
*CO/NYC candidates might not be considered
*Depending on experience
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.
*CO/NYC candidates might not be considered
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