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Postdoc Fellow, Research Analytics

Req #: 1800244
Location: San Francisco, San Francisco US
Job Category: Research and Early Development
Work Location: 1500 Owens Street Suite 600 SAN FRAN 94158
Organization: Celgene Corporation
Schedule: 40
Employee Status: Full time
Job Type: Other
Job Level:
Other Locations:US- CA- San Francisco- Owens Street Celgene


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.


Biologists generate more data per day today than they did per year just a decade ago. We are seeking an independent scientist to integrate large-scale patient-derived molecular and clinical data to identify new drug targeting opportunities in cancer. The individual will work with the cancer biology and computational teams, including a strong group of machine learning and mathematical modeling experts. Publications are highly encouraged. The position is an opportunity to leverage the mentorship and expertise of a well-resourced research environment while exploring industry as a potential career prospect.

Responsibilities will include, but are not limited to, the following:

Diverse sets of internal and public profiling and genetic perturbation data has created unprecedented opportunities to discover actionable vulnerabilities in patient tumors. This position is intended to allow an experienced computational researcher the freedom to explore the data, integrate with public resources, and predict new opportunities for intervention. Mentorship and experimental (lab) support will be readily available through various Celgene functions/teams.

Skills/Knowledge Required:

  • PhD in computer science, physics, math, statistics, engineering, or a related field with a firm grasp of probabilistic modeling
  • Demonstrated experience in applied probabilistic modeling/machine learning
  • Competent programmer fluent in Unix/Linux, Perl or Python, and R or Matlab or equivalent
  • Working knowledge and understanding of molecular and cell biology
  • Basic understanding of molecular profiling
  • Strong interpersonal, oral, and written communication skills
  • Previous experience in cancer biology is a plus



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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About Celgene

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.

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