Description 

The School of Public Health at the University of California, Berkeley welcomes applications for a postdoctoral scholar employee in the Community Health Sciences Division within the Maternal, Child, and Adolescent Health (MCAH) program to engage in academic research at the forefront of pubertal timing and multi-dimensional risk factors for early puberty. Proficiency in analyzing large datasets is desired. This research project focuses on establishing normative pubertal timing trajectories for US adolescents by sex, race/ethnicity and BMI, identifying sex- specific modifiable risk factors that can serve as targets for intervention strategies in high-risk groups, and examining associations between early life psychosocial, nutritional, and neighborhood factors and pubertal timing using a large, diverse cohort of boys and girls from a large integrated health system. There is also an opportunity to examine health and mental health outcomes related to pubertal timing. Applicants should have strong analytic skills and a demonstrated background in quantitative psychology, epidemiology, biostatistics or a related field.

The initial appointment, limited to US citizens, is for two years. Salary scales for postdoctoral fellows are set by the University of California Office of the President, more information can be found here, commensurate with qualifications and experience.

The University of California offers a comprehensive benefits package including medical, dental, vision, accidental death and dismemberment, short term disability, voluntary long term supplemental disability and life insurance. The University also has a number of policies and programs to support employees as they balance work and family.

The Ideal Candidate Will Have

• A PhD or equivalent from a recognized university in one of the following areas: Psychology, Public Health, Epidemiology, Biostatistics, Community Health Sciences, Behavioral Health Sciences
• Excellent quantitative skills
• Superior academic performance and a strong publication record
• Ability to be self-directed with broadly defined limits on assignments
• Excellent communication skills, both oral and written
• Demonstrated ability to interact efficiently with diverse people in a highly
• multidisciplinary environment.

Related Skills May Include

• Familiarity with neighborhood measurement as well as relevant databases
• Statistical proficiency in survival analyses, SEM, causal inference or longitudinal modeling, hierarchical statistical methods
• A background in child or adolescent development.