Research Associate – Mixed Methods Implementation Scientist

Research Associate – Mixed Methods Implementation Scientist
HSPH Non tenure track Research Scientist

Ariadne Labs is a joint center for health systems innovation at Brigham and Women’s
Hospital and the Harvard T.H. Chan School of Public Health. Our goal is to drive
scalable solutions for better care at critical moments in people’s lives everywhere. Better
care means better health outcomes, lower costs, and more actual caring. Critical means
solving health systems failures that have major impact, typically touching people by the
millions. Ariadne Labs currently has research programs in the areas of childbirth,
surgery, palliative care, and primary health care.

In addition to teams organized around clinical areas, Ariadne Labs has teams organized
around methodological expertise: Innovation, Science & Technology, and
Implementation. We call these teams our platform teams. In academia, research teams
are often siloed around a specific topic or question. They may have few opportunities to
share lessons learned across research fields and may not always have access to a
wide range of specialized skill sets. Our platform teams collaborate across topic areas
as thought partners and provide technical expertise in designing, testing, and spreading
solutions. Our matrixed structure allows us to collaborate on all projects, big or small,
with expertise in data science, computer science, human-centered design, quality
improvement, implementation, and more.

The Mixed Methods Implementation Scientist will report to the Director of the Science
and Technology Platform and will be responsible for conducting research across
Ariadne that bridges the gap between the development of evidence-based interventions
and their effective implementation in real-world settings. Ariadne Labs is reaching an
exciting phase in our growth, when many of our solutions and tools are being
implemented at a global scale. Along with our mission is to create scalable healthcare
solutions that produce better care at the most critical moments in people’s lives,
everywhere; we seek to continually learn that our solutions and tools produced actually
lead to improved individual, community, and population health by: (1) reaching the
people for whom they are intended; (2) being adapted to local circumstances; and (3)
being implemented effectively, safely, equitably, and in a timely and patient-centered

The role of a Mixed Methods Implementation Scientist requires a combination of
research skills, interdisciplinary collaboration, and a commitment to translating research
findings into actionable recommendations and implementation. This individual will be
able to provide direction around Implementation Science study design, theories,
frameworks and methodology (including experience with analyses and reporting that are
guided by and/or organized around theories/frameworks or require triangulation of data
from multiple sources) and have demonstrated capabilities in program evaluation and
mixed method studies. The successful candidate will play a critical role in advancing the
effective implementation of evidence-based interventions to improve health outcomes.

This is a hybrid position that is based in Massachusetts. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.


The Mixed Methods Implementation Scientist’s will use a combination of quantitative
and qualitative research methods to assess and improve the implementation of health
interventions and programs.This individual will be tasked with applying implementation
science methods to the design and execution of research and evaluation projects
across the lab.

Responsibilities for this individual include:

  • Study Design:
    Provide scientific leadership to interdisciplinary teams by collaborating to
    design and develop research studies that evaluate the implementation of
    evidence-based interventions. This includes:
    • Ensuring appropriate selection of mixed methods research study
      aims and designs that integrate quantitative and qualitative data
      collection and analysis techniques to measure key implementation
      and/or effectiveness outcomes
    • Overseeing and contributing to the development of study protocols
    • Overseeing and contributing to the development of quantitative and
      qualitative data collection tools
  • Data Collection:
    • Collect and manage data, including primary quantitative data (administer
      surveys, facility checklists, etc.) and qualitative data (conduct interviews,
      focus groups, observations, etc) as well as compiling secondary data from
      existing datasets
    • Work with teams to implement data collection protocols and ensure data
      quality and integrity
  • Data Analysis:
    • Develop mixed methods analysis plans
    • Conduct Mixed Methods Analyses:
      • Conduct quantitative data analysis: use statistical software to
        conduct statistical analyses of process and outcome data
      • Conduct qualitative data analysis, e.g., thematic analysis, content
        analysis of interview and focus group data, assessment of
        contextual factors and barriers to successful implementation
      • Integrate quantitative and qualitative findings to provide a
        comprehensive understanding of implementation processes and
      • Generate recommendations for improving the implementation of
    • Results Synthesis and Communication:
      Support and lead writing of manuscripts, abstracts, reports, and
      presentations to communicate findings to both academic and
      non-academic audiences
    • Mentoring:
      Mentor Ariadne Labs faculty and staff to develop or strengthen capacity in
      implementation science
    • Proposal Development:
      Advise on grant proposals and grant applications; provide input on
      sections with high technical complexity requiring application of relevant
      implementation science theories, frameworks and methodologies



  • A Ph.D. or DrPH in a relevant field (e.g., public health, psychology, social
    sciences) with expertise in mixed methods research and a minimum of 5-8 years
    of applied research experience in implementation science.
  •  Demonstrated expertise in designing and conducting mixed methods
    implementation research studies, including hybrid effectiveness-implementation
    research studies
  • Understanding of variation in rigorous study approaches with real-world
    applicability and implementation
  • Ability to translate findings into actionable implementation guidance (e.g.,
    selection or refinement of implementation strategies based on context or
    implementation outcomes)
  • Ability to work independently to forward their own research
  • Strong knowledge and demonstrated expertise in using implementation science
    and evaluation frameworks (e.g., CFIR, RE-AIM)
  • Strong knowledge of both quantitative and qualitative research methodologies,
    with depth of expertise in at least one methodology (quantitative or qualitative)
    and the ability to do mixed methods analysis
  •  Excellent oral and written communication skills, including the ability to write
    funding proposals and produce clear, concise reports and presentations about
    data and complex issues
  • Expertise in quantitative analysis software (e.g., SAS, Stata, R, SPSS) and
    qualitative data analysis software and tools (e.g., NVivo, Dedoose, Atlas.ti).
  • Excellent collaboration skills and experience working with multidisciplinary teams
  • Cultural competence — ability to work across content areas and settings in the
    U.S. and globally


  • Minimum of 5-10 years of applied research experience in implementation science
    in healthcare
  • Demonstrated scientific stature as evidenced by peer-review publications and
    service to professional organizations
  • Experience in mentoring research staff
  • Experience working on grants

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