Senior Researcher - Administrative Data Linking

$97,800 - $130,470/Yr

Chapin Hall At The University Of Chicago - Chicago, IL

Full-time - Senior

Remote - Chicago, IL

About the position

Chapin Hall is seeking a Senior Researcher with a strong interest in data science to lead innovative research designs using multiple sources of administrative data. The role aims to inform decision-making by public and private child-serving agencies and policymakers, focusing on improving quality of life, well-being, and equitable outcomes for children, youth, and families. The Senior Researcher will manage and maintain administrative data sources, collaborate with various stakeholders, and develop data-driven policy solutions.

Responsibilities

• Generates innovative research questions and approaches; develops and implements research studies that utilize appropriate data science and statistical modeling methods.
• Collects, cleans, and preprocesses large datasets from various sources.
• Develops and implements statistical models and machine learning algorithms to solve complex policy problems.
• Performs exploratory data analysis to uncover trends, patterns, and insights.
• Communicates findings and insights through data visualizations and reports.
• Stays up-to-date with the latest advancements in data science and machine learning technologies.
• Mentors researchers and provides guidance on best data science practices.
• Directs the development of standard operating procedures for the maintenance of programming codes that transform administrative data into analyzable formats.
• Oversees other researchers who independently collect, convert, merge, and assemble large datasets from various sources to ensure effective quality control.
• Develops research and Institutional Review Board protocols.
• Contributes to the development of research funding proposals.

Requirements

• A doctoral degree in data science, economics, public policy, statistics, sociology or another relevant field OR a master's degree plus a minimum of five years of relevant, post-degree experience.
• Proven experience as a Data Scientist or in a similar role.
• Proficiency in programming languages such as Python, R, SQL, SAS, or STATA.
• Strong understanding of statistical analysis, machine learning, and data mining techniques.
• Experience with data visualization tools such as Tableau or Power BI or the equivalent.
• Strong interpersonal skills, with the ability to effectively manage key partner relationships.
• Strong communications skills with the ability to translate and convey complex concepts and study findings in oral and written communications.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently with a high degree of initiative.
• Strong project management skills, with the ability to manage multiple, concurrent tasks.
• Demonstrated capacity for working in a collaborative research environment.

Nice-to-haves

• Substantive content expertise linking child welfare administrative to other sources of administrative data as evidenced by peer reviewed publications preferred.
• Professional experience using the US Report And Placement Integrated Data System (RAPIDS) is desired but not required.

Benefits

• Flexible remote work from anywhere in the United States.
• In-person opportunities for staff to build connections, team cohesion, and a sense of belonging.
• Travel to and engage in a minimum of two annual 2-day 'All Hall Convenings' featuring shared learning, teamwork, and fellowship.