Celgene is a global biopharmaceutical company leading the way in medical innovation to help patients live longer, better lives. Our purpose as a company is to discover and develop therapies that will change the course of human health. We value our passion for patients, quest for innovation, spirit of independence and love of challenge. With a presence in more than 70 countries - and growing - we look for talented people to grow our business, advance our science and contribute to our unique culture.
We seek a talented, collaborative interdisciplinary scientist to catalyze the development and application of computational approaches for translating genetic associations to mechanistic understandings. The successful candidate will develop and apply computational strategies to extract mechanistic insights from large proprietary genetic-centric and omics rich human datasets. In particular, this role is expected to elucidate context-specific and genetic-inspired mechanisms in autoimmune and/or neurodegeneration diseases by:
Developing QTL analyses and network-centric approaches for carrying forward genetic variations into mechanistic insights;
Pioneering deep-learning algorithms for biomedical research;
Deriving novel insights using longitudinal progression-based patient records.
The position offers an exciting opportunity to leverage access to proprietary resources and broad team expertise within the industry setting.
Expertise in genetics and omics datasets are prerequisite. Experiences in algorithm development are highly desired.
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Celgene is a global biopharmaceutical company committed to improving the lives of patients worldwide. At Celgene, we seek to deliver truly innovative and life-changing treatments for our patients.