HARVARD UNIVERSITY

Postdoctoral Fellow, Ariadne Labs BetterBirth Program

Location
Cambridge, Massachusetts (US)
Posted
14 Feb 2018
End of advertisement period
13 Mar 2018
Ref
8126
Contract Type
Fixed Term
Hours
Full Time

Postdoctoral Fellow, Ariadne Labs BetterBirth Program
Harvard T.H. Chan School of Public Health
Ariadne Labs
Position Description

About Ariadne Labs
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.

Postdoctoral Fellow
We seek an early career PhD-level researcher with interest in health systems research and skills in research design, statistics, implementation science, and/or statistical programming. The researcher would join our childbirth team, bringing his or her methodological expertise to bear on our existing data and research endeavors while beginning to carve out an independent area of research within the spectrum of our work.

We are looking for an independent thinker who works well in teams, collaborates well with people from other disciplines, and brings curiosity and high standards to the scientific enterprise. Although the fellow will frequently work independently, s/he will be supported by the BetterBirth team, Ariadne’s scientific leadership as well as the Science & Technology Platform (a cohesive team of statistical analytic staff, data architects, research assistants, and program managers).

We welcome applicants with backgrounds in public health, epidemiology, sociology, quantitative psychology, health policy, health services research, statistics, or related fields and a demonstrated interest in maternal and/or neonatal health, particularly around the time of childbirth.

BetterBirth Program 
The BetterBirth Program seeks to improve the quality of care, minimize complications and end the preventable deaths of women and newborns during childbirth through effective implementation of evidence-based, scalable solutions at the frontline of care.

Within BetterBirth, existing analytic tasks for the fellow will include statistical analysis and write-up of existing datasets from the BetterBirth Trial (a cluster randomized controlled trial following 160,000 mother-baby pairs). There are over 30 sub data sets and 204 million data points in the data set. BetterBirth is also exploring possible study design and analytic plans for data from 30 sites implementing the Safe Childbirth Checklist across the world.

Here are some but not all of our current research aims. The fellow’s independent research would likely fall into one of these areas but we are open to new ideas!

Exploring what the BetterBirth data can tell us about: Timely referral and safe transportation of patients; Provider skills and complications management; Accountability, motivation and incentives amongst providers; Supply availability and use; and Readiness for change.

Exploring intervention redesign for more effective behavior change
Readiness to implement maternal and neonatal health quality improvement at the frontlines of care

Principal duties and responsibilities

  • Working closely with colleagues, support research projects with methodological and statistical expertise
  • Construct scientifically rigorous and ethical study designs that meet clinical needs, feasibility requirements, financial constraints, and publication standards
  • Write and review grant applications, study protocols, manuscripts, and IRB submissions
  • Develop and carry out analytic plans for existing and new datasets, including diagnostic, descriptive, and inferential analyses as needed
  • Communicate scientific results in various venues
  • Collaborate with scientific colleagues on the Science & Technology platform
  • Mentor research assistants and project coordinators
  • Contribute to the overall scientific integrity of Ariadne Labs

Basic Qualifications

  • Required qualifications and skills
  • PhD (or comparable terminal degree) in public health, epidemiology, sociology, health policy, statistics, or related field
  • 0 – 3 years relevant postdoctoral experience
  • Statistical programming skills (SAS preferred. Stata, SPSS, R, or similar package acceptable)
  • Familiarity or experience with health systems research, implementation science, adaptive trial design, or related methods
  • Familiarity or experience with data management and HIPAA regulations
  • Excellent communication, writing, and data presentation skills in English
  • Intellectual flexibility, curiosity, and willingness to learn
  • High level of personal interest in the field of maternal and/or neonatal health or childbirth

Additional Qualifications

  • Preferred qualifications and skills
  • Field experience around maternal and/or neonatal health or childbirth
  • Familiarity with systems science or complex systems
  • Skill in literature reviews and content synthesis
  • Experience working in a matrix environment
  • Experience with IRB relations or human subject protections
  • Data visualization skills

Special Instructions

To apply: Please send a CV, cover letter, and writing sample to:

Kit Nichols
Director of Talent Development
people@ariadnelabs.org

Contact Information

Kit Nichols
401 Park Drive, 3rd Floor East
Boston, MA 02215

Contact Email People@ariadnelabs.org

Equal Opportunity Employer 

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Minimum Number of References Required Maximum Number of References Allowed Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents Required Documents

  1. Curriculum Vitae
  2. Cover Letter

Optional Documents