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    Posdoctoral Fellow Positions in Epidemiology - Boston, United States - Brigham and Women's Hospital (BWH)

    Brigham and Women's Hospital (BWH)
    Brigham and Women's Hospital (BWH) Boston, United States

    2 weeks ago

    Default job background
    Full time
    Description

    The Channing Division of Network Medicine, Brigham and Women's Hospital, and Harvard

    Medical School are seeking applicants for 3 postdoctoral positions in integrative omic analysis of

    asthma, lung function, and aging. All projects provide a terrific opportunity to work with large,

    deeply-phenotyped human populations with a focus on the integrative multiomic analysis. The ideal

    candidate will have a strong background in programming or statistics together with a familiarity with

    bioinformatics tools. No wet lab or laboratory experience is desired or required. All projects are

    jointly supervised by Assistant Professor Michael McGeachie and Associate Professor Jessica Lasky-

    Su, or by Dr Lasky-Su alone, but it will also include interacting with a highly-interdisciplinary team

    of researchers from both the Channing and elsewhere in the Longwood Medical Area, Boston MA.



    Project 1: The position will focus on the analysis of microRNA-Seq and metabolomics profiling data

    from a Biobank cohort with asthma, with additional integrative omic investigations including the

    integration of genomic variants and DNA methylation. We are specifically interested in studying

    miRNA and metabolomic influences on asthma progression through lung function, while including

    other omic datatypes including genetics, genomics and the microbiome. (Supervisors Drs McGeachie

    and Lasky-Su).



    Project 2: The position will focus on the analysis of large-scale antibody profiling and metabolomics

    profiling data from a Biobank cohort with asthma, with additional integrative omic investigations

    including the integration of genomic variants and DNA methylation. Primary goals include studying

    infection and metabolomic influences on asthma progression through lung function and other disease

    outcomes, while including other omic datatypes including genetics, genomics and the microbiome.

    (Supervisor Dr Lasky-Su).



    Project 3: The position will focus on the analysis of multi-omic data and electronic medical records

    (EMR) from several Biobank cohorts, with additional integrative omic investigations including the

    integration of genomic variants and DNA methylation. The main work will be studying aging and

    chronic disease trajectories, while integrating omic datatypes including metabolomics, proteomics,

    genetics, genomics and the microbiome. (Supervisor Dr Lasky-Su).



    The Channing Division of Network Medicine represents a diverse and highly collaborative research

    community that is focused on deciphering the etiology of complex diseases. The lab benefits from

    active collaborations with computational, biostatistical, and networking experts. We also work with

    state-of-the-art laboratories for the generation of 'omics' data and have established bioinformatic

    pipelines for cleaning and preparing data for analysis. The fellow will primarily be working on the

    statistical analysis and scientific write up of projects based within one of our many well-established

    longitudinal cohorts of children and adults, which have a wealth of multi-omic data and cover

    lifestyle, behavior, dietary and environmental risk factors. These outstanding resources offer the

    potential for a high-quality candidate to address scientific questions of interest and to develop their

    research career in a vibrant environment. We are seeking highly motivated and analytically-capable

    applicants who have a strong interest in progressing the field through impactful science.



    QUALIFICATIONS: Applicants should have a Ph.D., Sc.D. or M.D. with a strong analytic

    background in genomics, bioinformatics, statistics, epidemiology, computer science, network biology

    or related field. Programming proficiency in some language is required (e.g. Java, C, C++, Python,

    Perl, SAS, MATLAB or R). Previous experience with analyzing metabolomic and/or next generation

    sequencing data is desired. Scientific publications in a peer-reviewed journal are necessary. Excellent

    written and verbal communication skills are essential.

    To apply, please supply a cover letter describing current research interests and specifically

    addressing your interest in the work of the Channing and how your background may uniquely

    prepare you for one of the three projects. Applications should also include a CV including contact

    information for three references and mail to and



    Brigham and Women's Hospital is a Harvard Medical School affiliated institution, with over 1000

    principal investigators. The Channing Division of Network Medicine is a research division within the

    Department of Medicine whose goal is to define the etiology and reclassify complex disease using

    network- and systems-based approaches. This group includes some of the largest population-based

    and pulmonary cohorts in the world, and an outstanding track record of mentoring.



    We are an equal opportunity employer and all qualified applicants will receive consideration for

    employment without regard to race, color, religion, sex, national origin, disability status, protected

    veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related condition or any

    other characteristic protected by law. Women and minority candidates are particularly encouraged to

    apply.



    Appointment and/or employment at a Mass General Brigham affiliate is contingent upon compliance

    with all requirements for employment at the MGB affiliate. These requirements include without

    limitation:

    • United States Citizenship and Immigration Services rules concerning identity and right to

    work in the United States

    • Multi-state criminal background checks

    • Review of the Medicare Sanctions and Exclusions List

    • Pre-employment health and drug screening and annual compliance with the Influenza

    Vaccination Policy

    Any offer of employment is contingent upon satisfactory completion of the above requirements for

    employment, as well as satisfactory completion of the credentialing and medical staff appointment

    process at the MGB affiliate(s) where the applicant will provide clinical services.

    Reference information, including academic and/or employment records, final evaluations, and recommendations for future employment will be required.


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