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Postdoctoral Fellow, Computational Biology

Req #: 17000761
Location: Cambridge, MA US
Job Category: Research and Early Development
Work Location: Cambridge, MA
Organization: Celgene Corporation
Schedule: Full-time
Shift: Day Job
Employee Status: Limited Term
Job Type: Standard
Job Level: Individual Contributor
Travel: No

Description

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.


Summary/Scope


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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BIO-US 

 


Qualifications
  • PhD in computational biology, bioinformatics, computer science, or related disciplines
  • Expertise in GWAS and QTL analyses.
  • Experience with public datasets GTEx, ENCODE, ADNI a plus.
  • Experience with deep learning a plus.
  • Experience with relevant programming/scripting tools (e.g. R, MATLAB, Python, C/C++).
  • Knowledge and/or interests in autoimmune and/or neurodegeneration indications a bonus.
  • A track record demonstrating scientific creativity, collaboration, and     independence.
  • Excellent written and oral communication skills.

Celgene is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.

Celgene complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Celgene in the U.S.
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