Quantitative Researcher, Military Health & Wellbeing Research

at  Fors Marsh

WHO WE ARE: At Fors Marsh, we take on issues that matter. We are a team of researchers, advisors, and communicators working together to shape the systems that shape our lives. We look at human behavior from all angles to design targeted solutions that influence decision-making and move people to action. We are committed to the problem, not just the project, and we are intentional about taking on work and forming partnerships that balance purpose, people, planet, and profit. We are a certified B Corporation, a Just employer, and a 2019-2024 Top Workplace. We hold ourselves accountable to the values that have always defined us. And those values drive us to be the best possible versions of ourselves-for each other, our communities, our clients, and the world.
WHO WE ARE LOOKING FOR: Fors Marsh is seeking an intelligent and motivated researcher with a background in quantitative social science. This individual’s primary responsibility would be to support a portfolio of social science research projects for our Military Health and Wellbeing Research team. This individual would work in a researcher role, providing expertise to improve service members’ well-being and inform policies and organizational decision making. This job is best for someone who enjoys applying innovative methods to solve challenging analytic problems, has experience gleaning insights from large data sets, and thrives in a collaborative environment.

QUALIFICATIONS:

• Graduate degree in social science (e.g., sociology, political science, psychology) or related field.
• Ph.D. preferred.
• A minimum of one year of experience (post-degree) in a researcher role
• A minimum of two years’ practical experience with applied social statistics within a professional environment (multivariate regression, multi-level modeling, structural equation modeling, factor analysis, dimension reduction, data processing, and data analytics).
• Professional experience working with diverse data sources, including survey, personnel, and administrative data.
• Able to understand various data structures and common methods in data transformation.
• Ability to work independently without close supervision and in collaboration with other team members.
• Proficiency writing syntax in R Studio.
• Applicants must be comfortable working with sensitive topics such as sexual assault and suicidal ideation.
• Demonstration of excellent verbal and written communications skills, including the ability to describe technical concepts to a wide variety of audiences (both technical and non-technical audiences).
• Must be a U.S. Citizen and consent to a full background check due to our federal contract requirements.
• Applicants may be subject to a low-level government security investigation and must meet eligibility criteria for access to sensitive information.

• Lead and/or support the development, implementation, and analysis of research projects examining topics related to service member well-being, such as sexual harassment, sexual assault, ethnic/racial discrimination, and suicide ideation in the military.
• Working with a mixed team of data and social scientists to operationalize personnel-related metrics and explore, aggregate, and analyze large, complex quantitative data sets through a variety of techniques.
• Preparing and analyzing data and interpreting results from descriptive and inferential analyses to identify patterns and solutions. Training/applied experience with multivariate modeling, dimension reduction, and predictive analytics preferred.
• Preparing research reports/briefs for the analyst and non-analyst audiences, written proposals, and other internal or external communications summarizing research methods, findings, and implications.
• Conducting literature reviews spanning across disciplines and synthesizing information.
• Supporting all phases of the social science analytics process, including the design, analysis, and interpretation of survey research, integrated datasets (e.g., survey data integrated with administrative data), and other studies.
• Directly interfacing with team members and clients to understand their needs, manage their expectations, and communicate the most pertinent results to them in a way that is useful and easy to understand.
• Communicating with individuals at various government agencies and policy offices to understand their informational needs and gain access to data sources.