Position Title: Research Associate-Principal Analyst

Duties & Responsibilities: The position involves providing statistical and data management programming support to several research projects. Focus will be on programming complex statistical and data manipulation algorithms that can become a part of a repertoire of programming tools available to researchers at the Center, including: multilevel modeling in neighborhood effects research, analyses of socially clustered data, and analysis of health trajectories from longitudinal cross-national surveys. The Research Associate will work closely with faculty affiliates of the Center to co-author peer-reviewed journal articles and conduct conference/workshop presentations. She/he will be an active member of the Center, and contribute to its intellectual life by attending seminars, workshops and events hosted by the Center. In addition, the Research Associate will offer a small fraction of her/his time assisting others in the Center community in statistical research methods. The Research Associate will be involved in several research projects active in the Center at any given time. The research of the center spans a wide range of fascinating topics, including: cross national comparisons of health and healthy aging, including disability and cardiovascular disease social policy impacts on health and health inequalities in the US and Europe neighborhoods, cardiovascular disease, and cognitive aging/dementia risk lifecourse determinants of older women's health worklife policies and employee health aging and health in low and middle income countries Appointment will be for 2 years with possibility of renewal.

Position Qualifications: The Research Associate should have a doctoral degree in a quantitative social or health field with very strong expertise in statistical programming in large data sets. Some post-doctoral research experience is preferred. A publication record in fields of social determinants of health, causal inference, or other topics in epidemiology or biostatistics is preferred. Experience in working with complex longitudinal data sets such as the HRS, SHARE, or Medicare as well as expertise in SAS, Stata and/or R with a broad range of expertise/comfort preferred would be advantageous.

Salary Range: Depends on qualifications

Benefits: Harvard offers an exceptionally generous benefits package.

Web Site: http://www.hsph.harvard.edu/centers-institutes/population-development/contact-us.html

Application Address: Please forward your cover letter and c.v. by email attachment to Jocelyn Finlay at jfinlay@hsph.harvard.edu by July 31, 2012.

Contact Email: jfinlay@hsph.harvard.edu

Application Deadline: 07/31/2012