Postdoctoral fellowship in Bioinformatics
Applications are invited from those with excellent bioinformatics
training and communication
skills to work in the laboratory of Prof. Peter Park at Harvard
Medical School. The long-term
goal of the laboratory is to understand epigenetic regulation
through computational analysis of
genomic data. In addition to methodological work, we are
involved in large consortium
projects and a number of other exciting collaborations with
experimentalists. For more
Multiple positions are available immediately to work on these
projects:
1) Development of computational methods for next-generation
sequencing data,
especially for DNA copy number analysis and DNA-protein
interactions.
2) Analysis of chromatin marks and copy number variation in stem
cells
3) Analysis of chromatin marks in Drosophila and
integrative analysis with other data
types and organisms, as part of the model organism ENCODE project
4) Integrative analysis of multiple data types in cancer genomics,
as part of the Cancer
5) Reconstruction of regulatory networks in developmental biology
For each project, the successful candidate will have an
opportunity to work on new data sets
generated on next-generation sequencing platforms. The
Harvard Medical area is one of the
most exciting places in the world for biomedical research and
there is ample opportunity for
collaborative work with biologists.
An ideal candidate will have a Ph.D. in a quantitative field and
have substantial experience in
bioinformatics. Excellent programming skills are essential
and experience with R is a plus. A
strong command of molecular biology is a big plus but those with
an outstanding record in a
quantitative field will be considered. Exceptional
researchers in bioinformatics with interests
not specifically mentioned above are encouraged to apply.
Please send your CV, a statement of research interests, pdfs of
your three best papers, and a
subject line. Graduate student positions are also available
for students already enrolled in a
graduate program at Harvard, MIT, or Boston University.