To the applicants to the BIG PhD program :
Many of you are sending me emails with CVs to express your interest in the Bioinformatics & Integrative Genomics PhD program (http://dms.hms.harvard.edu/big/); some of you are asking to meet with me. I am delighted that you are interested in the program. But the admission decisions are made by the admissions committee after carefully examining all the application materials (including recommendation letters, transcripts, test scores, personal statement) submitted via the official application portal (https://gsas.harvard.edu/admissions). Therefore, I do not make judgment on one's CV alone and do not comment on anyone's chances or provide suggestions.
Please note that the committee selects our incoming class without regard to a specific advisor (if any) with whom the student wishes to work. Therefore, showing an interest in a particular professor's laboratory in the hopes that the professor would speak on the student's behalf is not helpful for the admissions decisions.
As to the question of whether I am accepting students, the answer is yes--but I do not discuss potential research projects with students until they are admitted. It suffices to say that, so far, I have accepted all BIG students who wished to join my laboratory.
I am sorry that I am unable to respond to individual queries due to the heavy volume of emails I receive.
NOTE: Please note '[POSTDOC]' or '[GRAD]' in the subject line. If you do not hear back in one week, feel free to send a reminder. Mass emails that do not meet basic requirements will not be acknowledged.
Postdoctoral Fellowships (updated November 2019)
Applications are invited for multiple postdoctoral positions in the laboratory of Prof. Peter Park at Harvard Medical School. The long-term goal of the laboratory is to develop and apply innovative computational methods to enhance our understanding of cancer genetics, neurogenetics, and epigenetics. Recent work from the laboratory include methods for detection of mutations from single cell WGS data (Bohrson et al, Nat Gen, 2019; Luquette et al, Nat Comm, 2019; Lodato et al, Science, 2018) and mosaic mutations from bulk WGS data (Dou et al, Nat Biotech, in press), mutational signature analysis for cancer panels (Gurhan et al, Nat Gen, 2019), and analysis of chromothripsis events (Ciriano-Cortes et al, Nat Gen, in press).
Current openings are in the following areas:
- mutational signature analysis (multiple collaborations with oncologists)
- Cancer Research UK “Grand Challenge” on why cancer mutations are tissue type-specific
- analysis of multi-platform cancer genomics data for a rare cancer
- therapeutics for rare diseases using antisense oligonucleotides (Kim et al, New England Journal of Medicine, 2019).
- large-scale analysis of repetitive elements and transposable elements
The successful candidate will join a group of supportive and productive computational biologists and have an opportunity to collaborate with world-class biologists in the Harvard medical area. Our fellows have gone on to faculty positions at top institutions, including Harvard (3), Chicago, EBI, IFOM, Peking, and many others.
An ideal candidate will have a PhD in computational biology/bioinformatics/computer science/statistics or another quantitative field, as well as excellent programming and communication skills. Substantial experience in analysis of high-throughput sequencing data is highly desirable. We are particularly interested in hiring at least one fellow with a rigorous statistics background. Those with an outstanding record in a quantitative field without significant exposure to biology may also be considered.
Please send your CV and pdfs of your best paper(s) with '[POSTDOC]' and your name in the subject line. A research statement that demonstrates one's expertise in an area is helpful. Scientific programmer positions are also available.
There are multiple openings for graduate students. The focus of the work will be computational, but, if desired, the student will have an opportunity to carry out wet-lab work in one of the collaborating laboratories.
NOTE: The student must already be enrolled in a graduate program at Harvard (Biophysics, Biological and Biomedical Sciences, or others) or at MIT (Health Sciences & Technology or others).
Inquires regarding graduate student positions from those not already enrolled in one of these programs will go unanswered. There are no internship positions for foreign medical students.
Undergraduate Research Assistants (MIT UROP or Harvard):
Multiple positions are open for undergraduates throughout the year. A 10-hour commitment during school year and a full-time commitment during summer are required. Strong quantitative background and substantial programming experience are essential. You may also be interested in the Summer Institute in Bioinformatics and Integrative Genomics at Harvard-MIT Health, Science and Technology. There are no internship positions for foreign students.