Job Description

The Team

Across our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central Operations & Partners team provides the support needed to push this work forward.

Central Operations & Partners consists of our Brand & Communications, Community, Facilities, Finance, Infrastructure/IT Operations/Business Systems, Initiative Operations, People, Real Estate/Workplace/Facilities/Security, Research & Learning, and Ventures teams. These teams provide the essential operations, services, and strategies needed to support CZI’s progress toward achieving its mission to build a better future for everyone.

The Opportunity

CZI’s Survey and Social Science Research Team – part of the broader Research and Learning Team – designs and executes high-quality attitudinal and behavioral research in service of the organization’s goals; the team’s work supports CZI’s leaders, teams, and external partners to make more effective, evidence-based strategic decisions.  As a Senior Research Scientist on the Survey and Social Science Research Team you’ll report directly to the Head of Research and Learning and partner closely with program, product and functional teams across CZI to understand their learning agendas. Using this understanding, you’ll design and produce high quality quantitative research end-to-end,  and elevate insights that inform strategy, validate assumptions, provide critical context, and serve the broader fields in which we work.

What You’ll Do

• Collaborate with cross-functional partners to translate their learning needs into actionable social science research questions
• Design and execute primarily quantitative research to help teams learn about attitudes and behaviors of key groups using advanced methodologies and statistical techniques
• Convey insights in clear, compelling, concise, and actionable ways to shape & improve strategy and decisionmaking
• Serve as research and learning connective tissue across the organization by connecting relevant insights and themes with the right leaders and decision-makers
• Develop the organization’s capacity for research – including building and maintaining relationships with vendors, presenting at conferences, and remaining engaged in the quantitative social science community of practice

What You’ll Bring

• Advanced degree (Ph.D. preferred) in social science (e.g., Communication, Sociology, Political Science, Economics, Psychology, Public Policy), or in a quantitative field (e.g., Statistics, Research Methodology, Survey Methodology) with applied experience answering social science questions
• 4+ years working in quantitative research in technology, biotech, policy, and/ or public opinion / polling, answering real-world questions
• Extensive knowledge of and experience using quantitative research methodologies (e.g., survey sampling and design, significance testing, regression modeling, experimental design, behavioral data analysis, longitudinal analysis, etc.)
• Experience in survey methodology, especially questionnaire design and sampling
• Previous experience identifying and working with vendors on end-to-end research
• An ability to ask, as well as answer, meaningful and impactful questions for organizations using quantitative insights
• An ability to distinguish the interesting from the important
• Experience conducting rapid response research, and a desire to work in a fast paced, high energy environment
• Strong presentation and communication skills
• Proficiency using R for data manipulation and analysis
• Experience balancing and setting priorities in cross-functional environments
• An an insatiable curiosity to get to the heart of attitudinal and behavioral questions in subject areas outside of your expertise

Preferred Qualifications

• Substantive expertise in AI, biomedical science, or the intersection of the two
• Expertise  applying advanced statistical methods such as GLM, analysis of quasi-experimental research designs with non-equivalent groups (e.g., regression adjustment, matching, propensity score stratification),  hierarchical linear (random effects) modeling, etc. to research problems
• Experience using additional programming languages (e.g., Python, SQL)
• One or more of the following additional skills and expertise:
  • Marketing science techniques including segmentation and discrete choice experiments
  • Machine learning methodologies (e.g. building predictive models, working with unstructured data, etc.)
  • Network analysis
  • Text analysis or natural language processing

How to Apply

Job Types: Full-Time. Salaries: 100,000 and above.

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