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Introduction
Recent technological developments have enabled researchers
to generate experimental data in an unprecedented, genome-wide
scale. Our aim is to gain biological insights through computational
and statistical analysis of genomic data.
Integrative analysis of genomic data
Methodological work: We develop new statistical and
computational algorithms and tools for understanding a variety
of data types, such as gene expression, array comparative
genomics hybridization, and Chromatin Immunoprecipitation/microarray
(ChIP-chip). We are particularly interested methods for combining
heterogeneous data sets to derive new insights. Our goal is
to address important problems and come up with efficient and
statistically valid methods that will have practical impact
on biological and clinical investigators.
Collaborative work: We work closely with several basic
and clinical research groups. We strive to maintain a close
and synergistic relationship through which we can address
important biological and methdological problems effectively.
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Open Positions (New, Feb 2007):
Postdoctoral Fellowship:
Applications are invited for two postdoctoral positions in bioinformatics,
available immediately. Please send a cover letter, a CV, and
pdfs of your recent papers to peter_park at harvard dot edu.
Applicants with strong background in applied/computational
mathematics, computer science, or statistics are preferred
but there are no formal requirements. The successful candidate
would work on development of new methods for understanding
large biological datasets including gene expression, chromatin
modifications, and protein interactions as well as on collaborative
projects.
Scientific Programmer:
Applications are invited for a position in software development.
A bachelor's degree in computer science or a related field
is required. The primary object is to design web-based software
that implement algorithms developed by the members of the
group. Experience in web programming (CGI, Perl, mysql, etc)
and familiarity with various platforms would be ideal. The
individual will have a chance to develop important tools that
enable medical researchers to interpret their genomic datasets.
The person will be funded by the National Center for Biomedical
Computing grant recently awarded at Harvard.
Undergraduate Research Assistants (MIT UROP or Harvard):
Multiple positions are open for undergraduates throughout
the year. A 10-hour commitment during the term and full-time commitment during summer are required. Strong quantitative
background and substantial programming experience are essential. Underclassmen with such experience are welcome to apply. You may also be interested in the Summer Institute in Bioinformatics and Integrative Genomics at Harvard-MIT Health, Science and Technology.
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