The Columbia University, Robert N Butler Columbia Aging Center is seeking a Post-Doctoral Research Scientist to aid in grant writing, statistical analysis and day-to-day data management associated with multiple concurrent research projects of the Aiello Research Group.

The Aiello Research Group seeks to identify the interaction and influence of social and biological factors on long-term health outcomes, including the effect of socioeconomic position, stress and infection on chronic disease and mental health outcomes. We also investigate preventive measures for reducing infectious disease transmission in the community setting with a focus on non-pharmaceutical interventions. We aim to reduce social disparities in infection, chronic disease, and mental health by conducting integrative research across areas such as epidemiology, gerontology, sociology, infectious diseases, immunology, and laboratory research.

Primary Responsibilities

• Collaborate on or lead statistical-related analysis for scientific presentations, manuscripts, and grant applications; produce tables and figures based on study results
• Work with the principal investigator, project director, associate research scientist, student researchers, and other collaborators to develop and execute clear, well-documented research projects and manuscripts
• Perform data auditing across multiple projects and assist with quality control
• Work with research team members and collaborators to identify appropriate variables for proposed analysis across projects
• Create datasets for new projects and integrate new variables with existing datasets as needed
• Assist or develop grant proposals, including performing literature reviews and running preliminary analysis
• Assist with research related administrative tasks including IRBs, MTAs, DUAs, and progress reports
• Take initiative to acquire new statistical and/or programming skills as needed

REQUIRED QUALIFICATIONS:

• PhD, ScD or DrPH in social sciences or public health, epidemiology, geography, or related field is preferred
• Experience in measurement and analysis of biological and social variables in the study of health and aging
• Strong interpersonal, leadership, and verbal/written communication skills
• Significant research experience evidenced by peer-reviewed publications
• Experience with SAS, STATA, and/or R programming software

PREFERRED QUALIFICATIONS:

• Experience or willingness to gain expertise in various programming languages
• Demonstrated interest in the research topics investigated by the Aiello Research Group
• Familiarity with one or more of the following datasets: Biomarkers, DNA methylation data, RNA sequencing data, and/or metabolomics data

OTHER:

• Subject to business needs, we may support flexible and hybrid work arrangements Options will be discussed during the interview process
• Appointments will be for 1-year, with continuation pending funding and progress
• The search will remain open for at least 30 days after the ad appears and will continue until the position is filled  
• Columbia University benefits are offered with this appointment

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.  The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting.

About Columbia University

Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.

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