Postdoc: Pregnancy & Life-Course Multi-Omics Epidemiology

Rutgers University; Piscataway Township (NJ); Vor Ort; USD 60.000 - 150.000; Vollzeit

Benefits dieser Stelle

Medical, prescription drug, and dental

Paid vacation and holidays

Competitive retirement benefits

Educational benefits for employees

Life insurance coverage

Employee discount programs

Zusammenfassung

Rutgers University in Piscataway, NJ is inviting applications for a Post Doctoral Associate to join an interdisciplinary program focusing on pregnancy, life-course cardiometabolic health, and developmental origins of health and disease. You will work with pregnancy cohort data and integrate omics with epidemiologic data to study maternal and offspring health across the life course.

The role offers opportunities to lead manuscripts, develop independent research questions, and contribute to

Qualifikationen

• Doctoral degree in epidemiology, biostatistics, public health, population health, or related quantitative field by start date.
• Strong quantitative and epidemiologic training.
• Experience conducting statistical analyses in R or comparable environment.
• Experience with high-dimensional health data.

Aufgaben

• Lead analyses of longitudinal epidemiologic and molecular data.
• Develop and apply statistical approaches for metabolomics, proteomics, and related high-dimensional data.
• Prepare first-author manuscripts and scientific presentations.
• Collaborate with epidemiologists, biostatisticians, clinicians, and laboratory scientists.

Kenntnisse

Longitudinal analyses

R programming

Strong quantitative skills

Team collaboration

Ausbildung

Doctoral degree in epidemiology/biostatistics/public health

Tools

R

Jobbeschreibung

Rutgers University in Piscataway, NJ is inviting applications for a Post Doctoral Associate to join an interdisciplinary program focusing on pregnancy, life-course cardiometabolic health, and developmental origins of health and disease. You will work with pregnancy cohort data and integrate omics with epidemiologic data to study maternal and offspring health across the life course.

The role offers opportunities to lead manuscripts, develop independent research questions, and contribute to