Research Methodologist

Location
Cambridge, MA, USA
Salary
Competitive
Posted
Jun 06, 2018
Closes
Jul 05, 2018
Ref
35274321
Discipline
Medicine, Medical
Contract Type
Full Time
Job Type
Other job types
Details

Title
Research Methodologist

School
Harvard T.H. Chan School of Public Health

Department/Area
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.
Research Methodologist Position
We seek an early career PhD-level researcher with interest in health systems research and skills in research design, statistics, implementation science, and statistical programming.
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 researcher will frequently work independently, s/he will be supported by Ariadne's scientific leadership, and will join a cohesive team of statistical analytic staff, data architects, research assistants, and program managers.
As part of the Labs' matrix structure, the researcher will sit on the Data Science team on the Science & Technology platform and will work with clinical research teams in a variety of health domains, such as surgical safety, palliative care, safe childbirth, and primary health care.
We welcome applicants with backgrounds in public health, epidemiology, health policy, biostatistics, or related fields.
A cover letter is required.

Principal duties and responsibilities
Working closely with clinical colleagues, support research projects with methodological and statistical expertise
Construct scientifically rigorous study designs that meet clinical needs, ethical review, feasibility requirements, financial constraints, and publication standards
Write methods sections for 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 operating and developing the Data Science team and the Science & Technology platform
Mentor research assistants and project coordinators
Contribute to the overall scientific integrity of Ariadne Labs

Basic Qualifications

PhD (or comparable terminal degree) in public health, epidemiology, health policy, statistics, or related field
3-5 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 skills in English
Intellectual flexibility, curiosity, and willingness to learn

Additional Qualifications

Familiarity with systems science or complex systems
Training or experience in behavioral economic research
Skill in literature reviews and content synthesis
Experience collaborating with clinicians
Experience working in a matrix environment
Experience with IRB relations or human subject protections
Data visualization skills

Special Instructions

Contact Information

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

Contact Email
knichols@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