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Postdoc Fellowship - Computational Biology / Immuno-Oncology

Req #: 16000960
Location: Seattle, WA US
Job Category: Research and Early Development
Work Location: Seattle
Organization: Celgene Corporation
Schedule: Full-time
Shift: Day Job
Employee Status: Limited Term
Job Type: Internship
Job Level: Individual Contributor
Travel: No

Description

Give your career a boost by gaining experience from collaboration with leading academic and industrial research groups and expanding your expertise in computational analysis of high-dimensional tissue, cell and molecular profiling data and mathematical modeling of dynamical biological systems.

 

Have a real impact by advancing Celgene’s patient-focused Molecular Medicine and Immuno-Oncology efforts to discover and develop new therapies that will effectively and optimally change the course of human health. Your research findings will directly enhance the scientific community through publications and be meaningfully applied to the discovery of novel medicines.

 

Prepare yourself to be challenged, excited and inspired.


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



Postdoctoral Position in Computational Biology / Immuno-Oncology 

 

We seek a talented, collaborative interdisciplinary scientist to catalyze the development and application of computational approaches for the analysis of high-dimensional cell and molecular profiling data and integrative modeling of multiscale dynamical biological systems. The successful candidate will work on computational analysis of large multi-omics datasets (including genomics, transcriptomics, proteomics, and phenomics) and mathematical modeling of complex biological systems. Expertise in predictive pattern recognition applied to molecular profiling data and mathematical modeling of biological and disease processes, and demonstrable ability to interpret the output of such analyses in the clinical context, are prerequisite. The successful candidate will be also expected to participate in collaborative projects with Seattle-based leading academic research groups on computational analysis of high-dimensional tissue, cell and molecular profiling data to advance Celgene’s patient-focused Molecular Medicine and Immuno-Oncology efforts.



Qualifications

  • A Ph.D. in bioinformatics, computational biology, computer science, or related disciplines.
  • Expertise in analysis, interpretation and applied computational research on large multivariate molecular profiling datasets.
  • Expertise in predictive pattern recognition applied to molecular profiling data and mathematical modeling of biological and disease processes as well as demonstrated ability to interpret the output of such analyses in the clinical context, are required.
  • Experience with mathematical kinetic modeling of dynamical biological systems.
  • Experience analyzing human and/or other organism datasets at scale.
  • Experience developing and integrating data analysis tools to manipulate large datasets.
  • Experience in machine learning, biostatistics, and sequence analysis.
  • Experience with relevant scripting tools (e.g. R, MATLAB, Python, Perl).
  • A track record demonstrating scientific creativity, collaboration, and independence.
  • Excellent written and oral communication skills.
 
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