Postdoctoral Research Fellow - Quantitative Methods

Mass General Brigham
  • Massachusetts
    1 day ago

    Job Description

    Site: The General Hospital Corporation


     

    Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


     

    Job Summary

    We are recruiting a postdoctoral research fellow to join a multi-site research team conducting a pooled analysis of data from three completed clinical trials of motor-based treatment for childhood apraxia of speech (CAS). The project will build an open research repository of treatment data from these studies and examine child-, session-, and target-level predictors of treatment response. The team will also develop an algorithm to support clinicians in applying evidence-based treatment target selection methods in CAS.


     

    Qualifications

    This position is contingent on grant funding and the duration of this position is expected to be for 21 months from the start date.


    Does this position require Patient Care? No

    Primary responsibilities include (1) managing and coordinating data and building the research repository, (2) conducting statistical analyses for the planned aims, and (3) disseminating findings through peer-reviewed publications and conference proceedings. The fellow will also receive structured mentorship to support their career development, along with travel funding to present this work at conferences. Additional opportunities for teaching or mentoring students in statistical methods may be available for interested applicants.


    The successful candidate will have a strong foundation in quantitative methods and/or psychometrics and a desire to develop further expertise through mentored postdoctoral training. Study methods will include multilevel modeling, Bayesian approaches, and item response theory, primarily implemented in R. Knowledge of motor learning, child speech and language development, phonetics, or related areas is a plus. The position is well suited to applicants with a PhD (or candidacy) in quantitative or developmental psychology, communication sciences and disorders, rehabilitation science, or a related field with a strong quantitative background, as well as applicants trained in statistics or research methods who are interested in applied health research.


    In the cover letter, applicants are encouraged to highlight one manuscript (published or preprint) that exemplifies how their research interests and/or expertise are relevant to the position.


     

    Additional Job Details (if applicable)

    The compensation range for this role is between $71,750 - $81,179.  Candidate experience is thoughtfully considered throughout the recruitment process, and those with significant experience may be considered for compensation above the starting range listed, as consistent with organizational guidelines and internal equity

    Years of experience 

    0         $71,750 - $73,544 

    1         $73,544 - $75,382

    2         $75,382 - $77,267

    3         $77,267 - $79,199

    4+       $79,199 - $81,179



     

    Remote Type

    Hybrid


     

    Work Location

    One Constitution Wharf


     

    Scheduled Weekly Hours

    40


     

    Employee Type

    Fixed Term


     

    Work Shift

    Day (United States of America)


     

    EEO Statement:

    1700 The MGH Institute of Health Professions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


     

    Mass General Brigham Competency Framework

    At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

    Numbers & Facts

    LocationMassachusetts

    Skills

    • Algorithmsunmatched
    • Bayesian Networksunmatched
    • Candidate Pipelineunmatched
    • Career Developmentunmatched
    • Clinical Trialunmatched
    • Communicative Disordersunmatched
    • Community and Social Servicesunmatched
    • Conferencesunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Developmental Psychologyunmatched
    • Fundingunmatched
    • Hospitalunmatched
    • Leadershipunmatched
    • Mentoringunmatched
    • Needs Assessmentunmatched
    • Nonprofitunmatched
    • Nursingunmatched
    • Patient Careunmatched
    • Psychometricsunmatched
    • Publicationsunmatched
    • Quantitative Researchunmatched
    • R Programming Languageunmatched
    • Research Skillsunmatched
    • Statisticsunmatched
    • Systems Analysisunmatched
    • Technical Researchunmatched
    • Training/Teachingunmatched

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