[SocBiN] Computational Biologist in Brain Research @ Harvard Medical School

[Xianjun Dong]

Dear colleagues,

We are looking to recruit a Computational Biologist in Brain Research - see the post below for details. 

If you know a strong candidate who would like to work on computational genomics of human neurodegenerative diseases in Harvard Medical School, I would be appreciated if you could pass this message to him/her.

Many thanks for your help,

Xianjun Dong
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Instructor, Department of Neurology
Harvard Medical School
Faculty of Neurology Department
Brigham and Women's Hospital

Tel: (+1)617-768-8691
Address: 65 Landsdowne St, 
Cambridge,  MA 02139
Blog: http://onetipperday.blogspot.com

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Harvard Medical School and Brigham & Women’s Hospital 
Postdoctoral Position Available in The Neurogenomics Laboratory 
 
Computational Biologist in Brain Research 

The Neurogenomics Laboratory envisions and is building a future precision medicine for Parkinson’s, 
Huntington’s, and other neurologic diseases, where genome-wide DNA, RNA, and various regulatory 
information is integrated for much earlier diagnosis, personalized prognosis, tailored treatments, and response 
tracking. We are looking for an enthusiastic, highly motivated, science-driven and experienced postdoctoral 
fellow to join our team to unravel how the genome functions in the human brain. The focus of this project is to 
answer two key questions for the future of neuroscience: How do GWAS-derived genetic risk variants cause 
brain disease? How can we harness this information for precision therapies? Genotyping, RNA-seq, 
microRNA-seq, and allele-specific gene expression analyses in >>100 human brains and biofluid samples will 
be performed to address this questions. See http://www.scherzerlaboratory.org/ for more background. 
 
Your tasks: By joining the bioinformatics team and working together with molecular biologists from the wet lab, 
the Postdoctoral Fellow will perform a variety of standard analysis, such as RNA-seq, small RNA-seq, 
expression Quantitative Trait Locus (eQTL), allele-specific gene expression, and advanced integrative analysis 
such as network and pathway analyses. 
 
Other responsibilities include: 
• Develop and implement algorithms and statistical methods to analyze large-scale sequencing data 
• Design and develop innovative data visualization methods to support genome analysis 
• Publish and present novel research findings in academic journals and conferences 
• Develop and maintain collaborations both within Harvard Medical School and also with outside researchers 
in academia and industry. 
 
Your qualifications: Applicants are expected to have Ph. D. or equivalent doctoral degree in bioinformatics, 
computer science, genomics, physics, or statistics. Ideal applicant should have strong programming skills in (R 
& (Perl | Python | C | C++ | Java)) and good knowledge in algorithms and tools development. Experience in Unix 
shell scripting is a big plus. Prior experience in analyzing high-throughput sequencing data (RNA-seq, ChIP-seq, 
small RNA sequencing etc.) is preferred. Advanced usage of large biological repositories, such as UCSC 
Genome Browser, Ensembl is a plus. Knowledge in gene regulation is a plus. Experience in GWAS, eQTL, 
allele-specific gene expression is a plus. Excellent English communication skills are required. Prior experience 
in genetics or neurosciences is encouraged. Candidates must have a track record in publication. Furthermore, the 
ability to work in a team and experience in the supervision of students are an asset. 
 
This fully funded position is available for an initial one-year appointment with the possibility of extension. 
Salary will be commensurate with experience. 
 
Please submit your application, including a statement of research interests, a biosketch, and three 
references to Kris Vernon at kvernon at partners.org and cc Dr. Scherzer cscherzer at partners.org.
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