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BACKGROUND

The Centre for Infectious Disease Research in Zambia (CIDRZ) is a
Zambian non-profit company affiliated with The University of Alabama at
Birmingham. CIDRZ conducts clinical and epidemiologic research, trains
Zambians and expatriates in research and clinical care, and supports the
Zambian government in its fight against HIV/AIDS. Our particular
interests are in provision of antiretroviral therapy (for which we
currently have 8 open clinical protocols and support a program that
treats over 165,000 adults and children) and prevention of
mother-to-child HIV transmission (for which we currently have 3 open
protocols and support a program that has served nearly 900,000 women).
We also have active research and clinical programs in HIV prevention,
cervical cancer, contraception, and tuberculosis control. For more
information visit the CIDRZ website at www.cidrz.org. Our antiretroviral
therapy program has been "hailed as a success" (The New York Times,
August 14, 2006).

 

RESEARCH ANALYST

We are looking for a programmer/analyst for large databases of HIV/AIDS
and obstetrical outcomes. Analyst will develop and maintain up-to-date
analysis datasets, plan and perform analyses with a talented in-country
team. The position requires relocation to Lusaka, Zambia. Applicants
should eMail a letter of application, including a brief statement of
interest, a curriculum vitae, and the names and addresses of three
referees to 

Dr. Benjamin Chi ([log in to unmask]).

 

RESPONSIBILITIES

* Participate as an active member of CIDRZ research group; plan and
carry out analyses

* Develop and perform routine quality control measures; identify
problems and provide feedback to Zambia-based project staff

* Maintain organized and up-to-date analysis datasets 

* Assist in planning and development of new studies

 

QUALIFICATIONS

* Masters or PhD in Biostatistics or Epidemiology

* Experience with large longitudinal datasets

* Proficiency in longitudinal analyses, logistic regression and survival
analyses required; experience with clustered data a plus

* Strong programming skills are required (SAS preferred); familiarity
with R, MS Access, visual basic, and SQL a plus

 

 

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Matthias Egger MD FFPH MSc DTM&H

Professor of Epidemiology & Public Health

Director

ISPM

University of Bern

[log in to unmask]

www.ispm.unibe.ch

+41 31 631 35 11

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