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  • bhasin77
    Junior Member
    • Apr 2012
    • 2

    POSTDOCTORAL POSITION IN BIOINFORMATICS/COMPUTATIONAL BIOLOGY at Harvard Med. School

    DESCRIPTION: Postdoctoral positions are currently available in Dr. Bhasin Systems Biomedicine laboratory at the BETH ISRAEL DEACONESS MEDICAL CENTER/HARVARD MEDICAL SCHOOL, Boston MA. We are looking for researchers to join our team for development of computational algorithms for integrating high throughput profiling data (e.g. genotyping, RNA-Seq data, ChIP-Seq, Epigenome, Proteome and Metabolome) with phenotype or clinical data. The focus of position will be to develop novel systems Biology modeling and analysis approaches for developing multi-dimensional networks and identifying master regulators that are critical in driving disease pathophysiology. The candidate will have the opportunity to do excellent and cutting edge research in computational systems biology, and work in a highly interdisciplinary environment.

    QUALIFICATIONS: Successful candidates should hold a MD, MD/PhD, PhD or MS in Computational Biology/ Bioinformatics/ Computer Science/ Biochemistry/ Mathematics/ Engineering/ Physics or Statistics. The position requires a strong background in algorithms and statistics, data management and mining, and machine learning. The candidate should have prior experience of work in systems biology and its stochastic computing, integrative modeling (using strong Bayesian network, HMM, etc.) and computational aspects. Candidates with prior experience in next generation sequencing data analysis are desirable. Candidates should have excellent programming skills and experience in C/ C++/ Java/ Perl/ Python and R. Highly motivated and creative candidates with excellent record of publications in peer-reviewed journals are encouraged to apply. The candidate is expected to have outstanding personal initiative and be able to work effectively as part of a team.

    HOW TO APPLY: Candidates who are willing to work in an exciting environment on the cutting edge of systems biology, genomics, proteomics and translational medicine are encouraged to apply. Please send a CV, a brief description of previous research and the names of three references to: mbhasin at bidmc.harvard.edu

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  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by GATTACAT
    Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by SEQadmin2


    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

    Here are nine questions we think about, in roughly the order they matter, before...
    06-18-2026, 07:11 AM

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