Job ID:
Job date: 2014-09-30
End Date:
Company : Thermo Fisher Scientific Country : Role : Research Scientist
Job date: 2014-09-30
End Date:
Company : Thermo Fisher Scientific Country : Role : Research Scientist
Job Description:
The Senior Staff Scientist will provide leadership in the application of cancer genome data sciences to translational medicine and diagnostics opportunities. This position is based in Ann Arbor, MI. Essential Functions:- The scientist will be expected to exhibit scientific leadership of cancer genome data sciences.- Provide scientific review, and ensure that results intended for internal and external customers are presented clearly and effectively. - Strong scientific and technical leadership is expected, along with ability to foster collaboration and innovation from the Translational Medicine team. - Partner with bioinformatics colleagues to develop and assess bioinformatics strategies. - Contribute to the development of innovative methods, software platforms, and infrastructure. - Support and/or lead the development of scientific presentations for scientific conferences and publications. - May be required to perform other related duties as required and/or assigned.Education:- PhD and/or MD in relevant field required.Experience/Requirements:- Requires a minimum of 7 years of relevant post-graduate experience in a cancer focused translational medicine related field. Industry experience is a plus. - Requires demonstrated expertise and experience working with cancer genomics data, along with a solid understanding of tumor biology and oncogenic signaling pathways. - Proven scientific excellence exemplified by lead author publications in high impact trade journals and/or significant contributions to industry programs. - Ability to work independently and collaboratively. - Requires ability to communicate effectively in spoken and written English language. - Prior work experience in industry or tenure-track academic position preferred. - Solid understanding of common statistical approaches used with genomic data preferred. Office is a casual work environment, with occasional travel required
Additional Info:
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The Senior Staff Scientist will provide leadership in the application of cancer genome data sciences to translational medicine and diagnostics opportunities. This position is based in Ann Arbor, MI. Essential Functions:- The scientist will be expected to exhibit scientific leadership of cancer genome data sciences.- Provide scientific review, and ensure that results intended for internal and external customers are presented clearly and effectively. - Strong scientific and technical leadership is expected, along with ability to foster collaboration and innovation from the Translational Medicine team. - Partner with bioinformatics colleagues to develop and assess bioinformatics strategies. - Contribute to the development of innovative methods, software platforms, and infrastructure. - Support and/or lead the development of scientific presentations for scientific conferences and publications. - May be required to perform other related duties as required and/or assigned.Education:- PhD and/or MD in relevant field required.Experience/Requirements:- Requires a minimum of 7 years of relevant post-graduate experience in a cancer focused translational medicine related field. Industry experience is a plus. - Requires demonstrated expertise and experience working with cancer genomics data, along with a solid understanding of tumor biology and oncogenic signaling pathways. - Proven scientific excellence exemplified by lead author publications in high impact trade journals and/or significant contributions to industry programs. - Ability to work independently and collaboratively. - Requires ability to communicate effectively in spoken and written English language. - Prior work experience in industry or tenure-track academic position preferred. - Solid understanding of common statistical approaches used with genomic data preferred. Office is a casual work environment, with occasional travel required
Requeriments :
Skills :
- Bioinformatics
- Cancer biology
- Computational Biology
- Genetics
- Lunix/Unix
- Modeling
- Next Generation Sequencing
- Programing Skills
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]