Behavioral Scientist IV: Weather Risk & Public Response (Remote)

Jobgether SRL; United States; Remote; USD 101,000 - 131,000; Part time

Benefits offered by this job

Competitive compensation

Fully remote within US

Flexible schedule

Job summary

Jobgether SRL is seeking a Scientist IV (Casual) for a part-time, remote position in the United States. The role focuses on interdisciplinary research into how people perceive and respond to weather-related risks, using longitudinal designs and advanced statistics.

Collaboration across social science, atmospheric science, and data science is emphasized, with opportunities to lead select research activities and publish findings.

Qualifications

• Bachelor's, Master's, or PhD in a relevant science with substantial experience.
• Experience with longitudinal research designs and advanced statistical methods.
• Proficiency in R, Python, or SPSS for data management and analysis.
• Strong written and oral communication for manuscripts and reports.
• Ability to work independently and collaboratively across disciplines.

Responsibilities

• Design and implement longitudinal research studies on risk perception and behavior.
• Develop and refine survey methodologies and sampling strategies.
• Integrate multiple data sources including mobile sensing and secondary datasets.
• Apply advanced longitudinal analyses to study behavioral changes and well-being outcomes.
• Contribute to publications, presentations, and reports for diverse audiences.
• Lead selected research components and coordinate project deliverables.

Skills

Longitudinal research design

Statistical modeling

Interdisciplinary collaboration

Communication skills

Independent project execution

Time management

Leadership and mentorship

Education

Bachelor's degree + 10 years

Master's degree + 6 years

PhD + 2 years

Tools

R

Python

SPSS

Job description

Jobgether SRL is seeking a Scientist IV (Casual) for a part-time, remote position in the United States. The role focuses on interdisciplinary research into how people perceive and respond to weather-related risks, using longitudinal designs and advanced statistics.

Collaboration across social science, atmospheric science, and data science is emphasized, with opportunities to lead select research activities and publish findings.