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    Opportunity: Computational Biologist in Human Genetics and Functional Genomics of Complex Eye Diseases @ Mass. Eye and Ear, Harvard Medical School -- Boston, MA (US)
    Submitted by Ayellet Segre; posted on Monday, December 10, 2018

    BACKGROUND

    The Segrè lab in the Department of Ophthalmology and Ocular Genomic Institute at Massachusetts Eye and Ear Infirmary (MEEI), a teaching hospital of Harvard Medical School, develops new computational and statistical methods that integrate large-scale human genetic association and sequencing studies with functional genomics and pathway data, to identify new causal genes and regulatory mechanisms that lead to common eye diseases, such as age-related macular degeneration, glaucoma and diabetic retinopathy, paving the way for new therapies.

    We are seeking a highly motivated and talented Computational Biologist or Bioinformaticist with formal training in statistics, mathematics, computer science, bioinformatics, or a related quantitative field, that is interested in statistical and computational analyses of large-scale genetics and -omics data to study the genetic and biological causes of common eye diseases. To learn more about the lab please visit: https://segrelab.meei.harvard.edu.

    RESPONSIBILITIES

    The successful candidate will work on independent and collaborative projects, that will entail developing new computational and statistical methods, as well as applying existing tools to genetics and functional genomics data from relevant tissues or cell types. Possible directions include statistical analysis of large-scale genetic association studies across multiple complex traits and diseases to identify new drug repurposing opportunities for common eye diseases and predict adverse drug effects; integrative analysis of genome-wide association studies (GWAS) with expression quantitative trait loci (eQTLs), splicing QTLs, and epigenomic data from retina and other eye tissues, or rare variant analysis of noncoding regulatory regions in eye disease cohorts, to identify genetic risk factors and causal genes and pathways for complex eye diseases. The candidate will critically review and communicate results to our group and collaborators, and will publish ones work in peer-reviewed journals. There will also be opportunities to follow-up hypotheses in relevant biological systems, and to present ones work at local, national or international meetings. The lab interacts with other computational biologists and computer scientists in the Bioinformatics Center of the Ocular Genomics Institute at Massachusetts Eye and Ear (MEE), and will be part of a larger multidisciplinary research environment of human geneticists, clinical scientists, and experimental and computational biologists at MEE and the Broad Institute of Harvard and MIT.

    REQUIREMENTS

    The position requires a B.Sc. in computer science, (bio)statistics, bioinformatics, mathematics, or a related quantitative discipline, and a Ph.D. in computational biology, statistical genetics or a related fields. A strong background in statistics or mathematics is preferred. The ideal candidate should have excellent programming skills and in-depth experience with multiple programming languages (e.g. Python, R and/or Matlab, and C++ and/or Java) and with Unix/Linux, and have demonstrated rigorous work. Experience with large-scale data analysis, algorithm development and statistics required; Research experience DNA sequencing, RNA sequencing, epigenetic, and/or GWAS data preferred. The candidate should have strong personal skills and excellent verbal and written communication and organizational skills. The applicant should be highly motivated to work in a fast-paced and rapidly evolving field and collaborative environment, and be passionate about using genomics to advance the understanding and treatment of eye diseases.

    LOCALE

    Ocular Genomics Institute, Massachusetts Eye and Ear, Boston, MA / Harvard Medical School / Broad Institute of Harvard and MIT

    COMPENSATION

    A competitive salary will be provided commensurate with experience, along with health and other benefits.

    HOW TO APPLY

    Interested applicants should send their CV, a cover letter describing previous research experience and future research interests, and contact information for 3 references, to Dr. Ayellet Segrè: ayellet_segre[at]meei.harvard.edu.

    DEADLINE

    Applications will be reviewed until position is filled.

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