Job ID: 5684
Job date: 2016-06-29
End Date:
Company : Columbia University Country : Role : Research Scientist
Job date: 2016-06-29
End Date:
Company : Columbia University Country : Role : Research Scientist
Job Description:
Columbia University's the Center for Computational Biology and Bioinformatics, Joint Centers for Systems Biology, is seeking several candidate for the positions of an Associate Research Scientist level for motivated individuals with a strong background in the computational sciences.
The ideal candidates will be proficient in programming and statistical analysis with demonstrated experience in problem solving. Specific background in information theory, Bayesian learning, or kinetic modeling is highly desired. Excellent organizational and communication skills are essential; knowledge of biology and genomics is not required but highly desirable. A strong publication record is a must for consideration.
The successful candidate will be able to work and thrive at the interface between laboratory science and computational biology.
The candidate will be involved in collaboration with other groups from the Herbert Irving Comprehensive Cancer Center and must have the ability to work with scientists to understand project requirements and to provide advice and guidance on bioinformatics solutions. As a result, he or she must possess excellent interpersonal and communication skills.
School/Institute/Unit:
Physicians and Surgeons, College of
Minimum Degree Required:
Ph.D.
Minimum Qualifications:
All applicants MUST meet these minimum qualifications to be considered for the position.
Requires a Ph.D or MD/ Ph.D. with a background in quantitative sciences (physics, mathematics, computer science, computational biology, bioinformatics, or engineering) coupled with a solid understanding of bioinformatics.
Preferred Qualifications:
Additional Information:
Dr. Califano is the Clyde and Helen Wu Professor of Chemical and Systems Biology at Columbia University, where he also serves as the Founding Chair of the Department of Systems Biology, the Director of the JP Sulzberger Columbia Genome Center, and the Associate Director of the Herbert Irving Comprehensive Cancer Center. His lab focuses on the systematic, de novo assembly and interrogation of gene regulatory models for the elucidation of mechanisms that are dysregulated in disease, with specific applications to cancer, stem cells, and neurodegenerative disease and with specific focus on systems pharmacology. These include elucidating the aberrant activity of master regulator proteins in disease checkpoint modules, which are responsible for the stability of disease states, as well as identifying small molecule compounds and combination that can effectively abrogate their activity. The lab, integrates the full spectrum of computational and experimental approaches and techniques, with specific focus on high-throughput data generation. Discoveries from these approaches have led to a number of clinical studies that are ongoing, thus also creating a relevant opportunity and pipeline for translational research.
Posting Date:
03-18-2016
Closing Date:
Open Until Filled
Special Instructions to Applicants:
Proposed Start Date:
04-01-2016
EEO Statement
Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran.
Date Review Begins
Required Applicant Documents for Upload:
Curriculum Vitae
Optional Applicant Documents for Upload
Cover Letter
List of References
Writing Sample/Publication 1
Writing Sample/Publication 2
Research Abstract
Additional Info:
[Click Here to Access the Original Job Post]
Columbia University's the Center for Computational Biology and Bioinformatics, Joint Centers for Systems Biology, is seeking several candidate for the positions of an Associate Research Scientist level for motivated individuals with a strong background in the computational sciences.
The ideal candidates will be proficient in programming and statistical analysis with demonstrated experience in problem solving. Specific background in information theory, Bayesian learning, or kinetic modeling is highly desired. Excellent organizational and communication skills are essential; knowledge of biology and genomics is not required but highly desirable. A strong publication record is a must for consideration.
The successful candidate will be able to work and thrive at the interface between laboratory science and computational biology.
The candidate will be involved in collaboration with other groups from the Herbert Irving Comprehensive Cancer Center and must have the ability to work with scientists to understand project requirements and to provide advice and guidance on bioinformatics solutions. As a result, he or she must possess excellent interpersonal and communication skills.
School/Institute/Unit:
Physicians and Surgeons, College of
Minimum Degree Required:
Ph.D.
Minimum Qualifications:
All applicants MUST meet these minimum qualifications to be considered for the position.
Requires a Ph.D or MD/ Ph.D. with a background in quantitative sciences (physics, mathematics, computer science, computational biology, bioinformatics, or engineering) coupled with a solid understanding of bioinformatics.
Preferred Qualifications:
Additional Information:
Dr. Califano is the Clyde and Helen Wu Professor of Chemical and Systems Biology at Columbia University, where he also serves as the Founding Chair of the Department of Systems Biology, the Director of the JP Sulzberger Columbia Genome Center, and the Associate Director of the Herbert Irving Comprehensive Cancer Center. His lab focuses on the systematic, de novo assembly and interrogation of gene regulatory models for the elucidation of mechanisms that are dysregulated in disease, with specific applications to cancer, stem cells, and neurodegenerative disease and with specific focus on systems pharmacology. These include elucidating the aberrant activity of master regulator proteins in disease checkpoint modules, which are responsible for the stability of disease states, as well as identifying small molecule compounds and combination that can effectively abrogate their activity. The lab, integrates the full spectrum of computational and experimental approaches and techniques, with specific focus on high-throughput data generation. Discoveries from these approaches have led to a number of clinical studies that are ongoing, thus also creating a relevant opportunity and pipeline for translational research.
Posting Date:
03-18-2016
Closing Date:
Open Until Filled
Special Instructions to Applicants:
Proposed Start Date:
04-01-2016
EEO Statement
Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran.
Date Review Begins
Required Applicant Documents for Upload:
Curriculum Vitae
Optional Applicant Documents for Upload
Cover Letter
List of References
Writing Sample/Publication 1
Writing Sample/Publication 2
Research Abstract
Requeriments :
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]