Company Information:
Michigan State University (MSU) is located in East Lansing, four miles
east of Lansing, the state capital, which is the state’s fourth largest
city. Michigan State University enrolls more than 41,000 students in 14
colleges, which offer over 165 areas of undergraduate and 76 areas of
graduate specialization. The Department of Epidemiology and
Biostatistics is currently located in B601 West Fee Hall on the campus
of Michigan State University. The Department offers a variety of
programs to its enrolled students including Master's of Science (MS),
Doctor of Philosophy (PhD), and Pre and Post Doctoral training programs.
MSU has excellent computer resources for biostatistics and
bioinformatics research. MSU offers faculty, postdocs and graduate
students free access to its cluster servers via the High Performance
Computer Center (HPCC). HPCC is staffed with individuals trained in the
use of specific statistical software packages for both mainframe and
personal computers, and provides consultative support to the university
community. HPCC also provides short courses to faculty, postdocs and
graduate students on a variety of topics, including training on the use
of statistical software, database management, and high-dimensional
computing.
Duties & Responsibilities:
Successful candidates will join the T32 fellowship program and will work
with the NIDA-funded training program director and faculty to develop
the fellow's own independent line of NIDA research while working with
the faculty on their lines of research. A specific methodological focus
will involve gene-gene and gene-environment interaction research, and
participation in the development of novel biostatistics methods and
bioinformatics tools for analyzing drug dependence related epidemiology,
genome-wide association, and next-generation sequencing data.
Successful applicants must be willing to make a career commitment to
NIDA research on alcohol, tobacco, or other drug dependence, and to seek
to sustain that research career priority via NIDA-funded or NIH-funded
research grant awards for epidemiology/biostatistics methods
development.
Position Qualifications:
Eligibility is limited to citizens of the US or its territories and
affiliated jurisdictions, and to current permanent residents (i.e.,
green card holders). We will give priority to eligible applicants who
already have earned the Biostatistics, Bioinformatics, or Computational
Biology PhD, as well as applicants who already have earned an
Epidemiology, Statistics, or Computer Sciences PhD degree and who seek
more advanced training in Biostatistics. Especially for applicants with
the Epidemiology degree, qualified applicants will be encouraged to take
Biostatistics MSc coursework and possibly to earn the Biostatistics
Master of Science degree; tuition/fees can be provided to qualified
applicants who do not already possess equivalent credentials in
biostatistics, bioinformatics, or computational biology, specifically.
Strong programming skills in R and/or C/C++ are preferred, but not
required.
Salary Range:
The annual stipend is based on the current Ruth L. Kirschstein NRSA
stipend levels across a range from $36,000 to $53,000, based on years in
research since earning the degree.
Benefits:
In addition to the stipend, benefits include health insurance coverage,
training-related expenses, and annual support for travel to present
research work at the annual scientific meeting of the College on
Problems of Drug Dependence.
Web Site:
http://www.epi.msu.edu/faculty/lu/ and http://scholar.google.com/citations?user=Hlq5TRgAAAAJ&hl=en
Application Address:
Each applicant should start by sending an email to express interest and
to describe NIDA research interests and goals, along with updated
curriculum vitae, and contact information for three references. The
email and attachment should be sent to ALL THREE of these email
addresses: mailto:epigrad@epi.msu.edu mailto:r25@epi.msu.edu
mailto:qlu@epi.msu.edu
Contact Email: qlu@epi.msu.edu
Application Deadline:
The position is immediately available, and remains open until it is filled.
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