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Bioinformatics Analyst
Job Description
Target PR Range: 48-58/hr
*Depending one 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
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
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