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The Boston University
Section of Preventive Medicine and Epidemiology is seeking
candidates for its T32 Training Grant in Cardiovascular
Epidemiology awarded by the National Heart, Lung, and Blood
Institute. Trainees will focus their 2-year training on the
epidemiology of cardiovascular disease such as coronary heart
disease, stroke, heart failure and other forms of vascular
disease, following one of the training pathways: statistical
genetics and genomics, computational biology and
bioinformatics, or clinical epidemiology.
Qualifications required
1)
US Citizen or green
card holder
2)
a) Ph.D. degree in
Biostatistics, Epidemiology, Computational Biology,
Bioinformatics, Genetics and Genomics or related field and
programming skills (SAS and/or R preferred) or
b) MD degree
The successful candidate will
participate in training activities including pathway-specific
coursework and workshops, as well as individual professional
development plan workshops, one-on-one professional counseling
and career planning, grant writing workshops, research
seminars, journal internships, and working on research
projects with a Boston University senior investigator on
longitudinal epidemiological studies such as Framingham Heart
Study, Long Life Family Study and other cohort studies. All
trainees will be supervised by their assigned faculty mentor
as well as by the program’s co-directors for progress
evaluation.
Interested candidates should
send the following materials to
CvEpiT32@bu.edu
·
Cover letter
indicating reason for applying to this training program
·
Curriculum vitae
·
2 recommendation
letters
Boston University is an equal
opportunity employer. Under-represented minorities are
strongly encouraged to apply. For more information, please
contact:
·
Ramachandran S.
Vasan (vasan@bu.edu)
or Vanessa Xanthakis (vanessax@bu.edu)
if you are interested in the clinical epidemiology pathway
·
Paola Sebastiani (sebas@bu.edu)
if you are interested in the Statistical Genetics and Genomics
or the Bioinformatics and Computational Biology pathway
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