Senior Quantitative Researcher, Military Health & Wellbeing Research

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 2019-2023 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 Senior Researcher with a background in quantitative social science. This individual’s primary responsibility would be to support a portfolio of quantitative 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.

Responsibilities include:

• Analytical and Technical Skills
• Applied experience with advanced statistical techniques such as multi-level modeling (e.g., cross-classified random effects, linear mixed effects), data reduction (e.g., PCA, factor analysis, clustering), and predictive model selection (e.g., LASSO, Ridge) required.
• Able to lead/support 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.
• Resolves problems that require general knowledge of analytic methodologies and principles, as well as the ability to learn new techniques quickly.
• Ability to communicate trade-offs associated with analytic approaches to technical and non-technical audiences.
• Provide quality assurance by ensuring the quality of work meets the required standards and project specifications.
• Experience working with large data sets required.
• Experience in R required.
• Project Management and Coordination
• Lead the development, implementation, and analysis of research projects examining topics related to service member well-being.
• Manage projects by coordinating with internal resources, ensuring quality control, and maintaining effective communication with team members.
• Plan and assign tasks to team members and monitor their progress to ensure timely completion.
• Team Orientation, Supervision, and Development
• Work 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.
• Mentor team members to enhance their research, analysis, and project management skills.
• Client and Stakeholder Interaction and Communication
• Directly interface with 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.
• Communicate with individuals at various government agencies and policy offices to understand their informational needs and gain access to data sources.
• Oversee and/or assist in 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.

Qualifications:

• Graduate degree in social science (e.g., sociology, political science, psychology) or related field
• PhD with 2-4 years industry experience, or Master’s degree with 4+ years of applicable industry experience
• Experience conducting quantitative research, in particular leveraging advanced statistical modeling techniques
• Knowledge and experience of quantitative methodologies such as multi-level modeling, data reduction techniques, and predictive model selection
• Experience working with diverse data sources, including survey, personnel, and administrative data
• Experience working in R/R Studio required
• Experience with Python preferred
• Strong verbal and written communications skills, including the ability to describe technical concepts to both technical and non-technical audiences
• Ability to work effectively independently and as a team member
• Applicants may be subject to a low-level government security investigation and must meet eligibility criteria for access to sensitive information
• Must be a U.S. Citizen and consent to a full background check due to our federal contract requirements

We Offer:

Our benefits typically meet or exceed our competitors’ packages. What ways are we unique?

• Ability to make an impact on people’s lives, both internal and external to the organization.
• Top-tier health, dental, vision, and long and short-term disability coverage all covered at 100% for employee coverage.
• Remote work.
• Our company culture, which values balance and allows each employee to take leave as they require it to balance the responsibilities of both their work and home lives without worrying about depleting their available leave hours.
• We provide a floating holiday bank so you can celebrate the days you value.
• Generous matching retirement contributions and no vesting period starting the third month of employment.
• Dedicated training and development budgets to expand your expertise and grow your skillset.
• You can volunteer your way with paid time off.
• You can participate in Fors Marsh staff-led affinity groups.
• Our employees receive product and service discounts through the certified B Corp network.

Salary: $93,000-$96,500

FM Career Map: Senior Researcher I

Location: Remote, United States Residents only

EOE: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.