Scientist IV (Casual) - Dynamics of Human Behavior

<h3>Accountabilities</h3><li>
<strong>Develop longitudinal research designs:</strong>Contribute to the design and implementation of longitudinal studies examining public responses to changing hazardous weather risks, including hurricanes, heat waves, atmospheric rivers, and fire weather events.</li><li>
<strong>Design survey methodologies:</strong>Help develop longitudinal survey structures, formulate research questions, identify target populations, and determine appropriate sampling strategies.</li><li>
<strong>Integrate complementary data sources:</strong>Support the development of research methods that combine longitudinal survey data with additional sources, including mobile sensing and secondary datasets such as transactional data.</li><li>
<strong>Conduct advanced statistical analyses:</strong>Apply appropriate longitudinal analytical techniques to investigate behavioral patterns, changes over time, risk perceptions, communication dynamics, and well-being outcomes.</li><li>
<strong>Advance scientific knowledge:</strong>Contribute to empirical, theoretical, and methodological developments in risk analysis, risk communication, and human responses to environmental hazards.</li><li>
<strong>Collaborate across disciplines:</strong>Work with social scientists, atmospheric scientists, data scientists, and other internal and external researchers to integrate perspectives, interpret findings, and assess the broader implications of results.</li><li>
<strong>Produce scientific outputs:</strong>Contribute to the preparation of peer-reviewed journal articles, technical reports, conference presentations, and other research products for scientific and stakeholder audiences.</li><li>
<strong>Lead research activities when appropriate:</strong>Take ownership of selected research components, helping shape project methodologies, coordinate deliverables, and contribute to the successful execution of scientific investigations.</li><li>
<strong>Support research quality and collaboration:</strong>Share expertise, contribute to research planning, and help maintain rigorous analytical standards and an inclusive, collaborative research environment.</li><h2>Requirements</h2><li>
<strong>Education and experience:</strong>Typically, a bachelor's degree in a relevant scientific discipline with at least 10 years of related experience, a master's degree with at least six years of related experience, or a PhD in a scientific discipline with at least two years of relevant experience. An equivalent combination of education and experience may also be considered.</li><li>
<strong>Longitudinal research expertise:</strong>Comprehensive knowledge of longitudinal research designs, including intensive longitudinal data collection methods and approaches for studying behavioral changes over time.</li><li>
<strong>Advanced statistical analysis:</strong>Strong expertise in longitudinal data analysis, including growth models and dynamic network models within multilevel modeling and structural equation modeling frameworks.</li><li>
<strong>Statistical programming proficiency:</strong>Demonstrated experience using statistical analysis and programming tools such as R, SPSS, or Python to manage, analyze, and interpret complex datasets.</li><li>
<strong>Scientific research capabilities:</strong>Proven ability to design, conduct, and interpret complex scientific investigations, applying rigorous methodologies and advanced analytical techniques to interdisciplinary research questions.</li><li>
<strong>Research communication:</strong>Excellent written and oral communication skills, including experience contributing to scientific manuscripts, technical reports, research presentations, and publications for peer-reviewed audiences.</li><li>
<strong>Interdisciplinary collaboration:</strong>Ability to work effectively with researchers from different scientific backgrounds, integrate diverse perspectives, and communicate complex findings to both specialist and non-specialist audiences.</li><li>
<strong>Independent project execution:</strong>Demonstrated ability to manage research tasks independently, contribute original ideas, coordinate deliverables, and maintain high standards of scientific quality.</li><li>
<strong>Organization and time management:</strong>Strong planning, prioritization, and organizational skills, with the ability to work efficiently within a flexible, intermittent schedule.</li><li>
<strong>Leadership and mentorship:</strong>Ability to guide research activities, support less experienced colleagues, and contribute to a collaborative and inclusive scientific environment.</li><li>
<strong>Work authorization and location:</strong>Must be able to perform the role within the United States and comply with applicable U.S. export control and work location requirements. Visa sponsorship is not available for this position.</li><h2>Benefits</h2><li>
<strong>Competitive compensation:</strong>Hiring range of<strong>$100,880–$131,170 USD</strong>, with final salary or rates determined by relevant education, experience, and skills. The applicable compensation arrangement for this casual, part-time role should be confirmed during recruitment.</li><li>
<strong>Flexible part-time schedule:</strong>Casual appointment with intermittent work based on project needs and the scientist's availability, averaging approximately four hours per week.</li><li>
<strong>Remote work option:</strong>Fully remote work within the United States is available, subject to applicable work location requirements.</li><li>
<strong>Meaningful scientific impact:</strong>Contribute to research that advances understanding of public behavior, risk communication, and responses to hazardous weather events.</li><li>
<strong>Interdisciplinary collaboration:</strong>Work with researchers across social science, atmospheric science, data science, and related disciplines.</li><li>
<strong>Research and publication opportunities:</strong>Contribute to peer-reviewed publications, scientific conferences, technical reports, and other research outputs.</li><li>
<strong>Professional growth:</strong>Expand expertise in longitudinal research design, advanced statistical modeling, behavioral science, and environmental risk analysis.</li><li>
<strong>Potential research leadership:</strong>Opportunities to lead selected research components and contribute to methodological development and scientific direction.</li><li>
<strong>Inclusive research environment:</strong>Join a collaborative scientific setting that values diverse perspectives, professional development, and equitable opportunities.</li><li>
<strong>Additional benefits:</strong>Healthcare coverage, paid leave, retirement benefits, and other employment perks have not been specifically confirmed for this casual appointment.</li>