The University of Minnesota
Supercomputing Institute seeks to hire a Computational Proteomics
Consultant to join a dynamic group that provides a high level of technical
support for researchers at the University of Minnesota Supercomputing
Institute.
This is an exciting opportunity to participate in a successful program that
provides technical support to a broad range of development efforts and
applications in computational biology.
Qualifications
- Ph.D. in Computational Biology, Chemistry, Molecular
Biophysics, related field, or equivalent experience.
- Ability to learn, support, and manage a wide variety of
application software packages.
- Demonstrated expertise in Proteomics.
- Demonstrated understanding of mass spectrometry techniques
and data analysis.
- Demonstrated ability to work well with faculty and graduate
student researchers.
- Experience with public and home-grown proteomics-related
databases.
- Must be able to contribute to a strong user support program
in proteomics.
- Strong computational experience.
- Experience with Perl, Python, or similar language.
- Strong oral and written communication skills.
- Must be able to begin employment within six weeks of
offer.
Duties/Responsibilities
Work as an enthusiastic, proactive team member of a
dynamic group in the area of biological computation, with a particular
focus on proteomics and protein science. Consult with researchers and
interact with users on a one-on-one basis to aid in effective resolution
of proteomics-related problems. Respond to user questions and problems.
Create and present tutorials and documents to provide proteomics-related
information to the research community. Provide expertise with strategic
planning and evaluation of hardware and software.
Apply directly at the University of Minnesota Employment
site:
http://employment.umn.edu
You will need to create an account, and then please apply directly to
job #155552.
The University of Minnesota is committed to the policy
that all persons shall have equal access to its programs, facilities, and
employment without regard to race, color, creed, religion, national origin,
sex, age, marital status, disability, public assistance status, veteran
status, or sexual orientation.
