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st: JOB POST: Genetic biostatistician/Genetic Epidemiologist/Statistical Programmer @ Tufts-NEMC, Boston

From   "Tom Trikalinos" <>
Subject   st: JOB POST: Genetic biostatistician/Genetic Epidemiologist/Statistical Programmer @ Tufts-NEMC, Boston
Date   Fri, 29 Feb 2008 11:02:47 -0500

Apologies for cross-posting.
This is a job description forwarded by me on behalf of Inga Peter,
PhD, Center for Genetic Epidemiology and Modeling (CGEM), Tufts-New
England Medical Center, Boston, US.
See under Knowledge, Skills and Abilities, #3, good Stata programming
knowledge is desirable.

The formal job description is quoted below:

Job Description:

TITLE: Genetic Biostatistician/Genetic Epidemiologist/Statistical Programmer
Tufts-New England Medical Center, Boston, MA

Please send your CV to Inga Peter, PhD at

General Summary:

Responsible for providing the statistical management and analysis of
genetic data for different research projects.  This position will be
with the Center for Genetic Epidemiology and Modeling (CGEM, ), which
provides analytic support to the Tufts-New England Medical Center
(NEMC) and Tufts University School of Medicine genetic and genomic
research community.

Principal Duties and Responsibilities:
1.         Works with CGEM staff to provide statistical and
programming support for funded genetic research projects, including
programming new routines using SAS, R, and special genetic packages,
as well as helping with tables, graphs, presentations and literature
2.         Assists to other researchers in Tufts-NEMC and
Tufts-affiliated hospitals with the design of experiments and the
analysis of genetic data.
3.         Participate in the general statistical work of the Division
including attending weekly research meetings and meetings with staff

Knowledge, Skills, and Abilities:
1.         M.S. in statistics or biostatistics, genetic epidemiology,
or related field, required.
2.         One to two year's experience, preferably in a medical
research environment is desired.
3.         Experience in computer programming, managing large
databases and analyzing biomedical and genetic data is required.
Experience with Stata, SAS, or R/Splus programming is required.
Knowledge of bioinformatics tools is required. Experience with genetic
packages, such as FBAT/PBAT and PLINK, is preferable.



Thomas A. Trikalinos, MD, PhD
Assistant Director, Center for Clinical Evidence Synthesis, Institute
for Clinical Research and Health Policy Studies, Tufts- New England
Medical Center, Boston, US
Assistant Professor of Medicine, Tufts University, Boston, US
Tel: (+1) 617 636 0734
Fax: (+1) 617 636 8628
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