[R-jobs] Research Position Statistical Computing in Biostatistics

Jan Beyersmann j@n @end|ng |rom |dm@un|-|re|burg@de
Tue Feb 13 13:49:59 CET 2007


X-Mailer: VM 7.17 under 21.4 (patch 18) "Social Property" XEmacs Lucid
FCC: ~/mail/sent-mail
From: Jan.Beyersmann using fdm.uni-freiburg.de
--text follows this line--
hi everyone,

please find below a job advert for a research position statistical
computing in biostatistics, emphasis is on R and survival
analysis. see also wangler et al., p. 31-35 in

http://cran.r-project.org/doc/Rnews/Rnews_2006-2.pdf

to get an idea what we have in mind.

our institute is in freiburg, south-west germany.

best, jan

--
Jan Beyersmann

Institute of Med. Biometry and Med. Informatics Stefan-Meier-Straße
26, D-79104 Freiburg, Germany

Freiburg Centre for Data Analysis and Modelling Eckerstrasse 1,
D-79104 Freiburg, Germany

jan.beyersmann using fdm.uni-freiburg.de

http://www.imbi.uni-freiburg.de, http://www.fdm.uni-freiburg.de

+49 (0)761/203-7702



Research Position Statistical Computing in Biostatistics

The Department of Medical Biometry and Statistics at the University of
Freiburg invites applications for a research position (statistical
programmer) in methodological research, with special emphasis on
statistical programming in biostatistics or clinical
epidemiology. Applicants should have a diploma, master's degree or
Ph.D. in biostatistics, statistics, or mathematics or computer
science, respectively, with experiences in applied
statistics. Advanced knowledge of the statistical computing system R
(or S) is a prerequisite. Ideally, the candidate has practical
experience in one of the following areas:

- event history analysis (survival analysis, competing risks)
- development of R packages

Good command of the English language is a must. We also expect the
candidate to appreciate the importance of concisely documenting
software for everyday use.

The Department of Medical Biometry and Statistics cooperates with
nearly all areas of medicine and beyond; it hosts the German Cochrane
Center, the DFG funded Research Unit "Statistical modeling and data
analysis in clinical epidemiology" and is closely linked to the Center
of Clinical Trials. In addition, its methodological research
activities are incorporated into the interdisciplinary Freiburg Center
for Data Analysis and Modeling (FDM) of the University of Freiburg.

The successful applicant will be integrated into a strong and active
group of scientists with expert knowledge in biostatistics and its
clinical applications. (S)he will play a key role in an ongoing and
successful research project, making advanced survival regression
techniques and nonparametric estimators of multivariate survival
functions available through R packages and R News
(http://cran.r-project.org/doc/Rnews) articles. This will be work at
the gateway between cutting edge methodology and wide accessibility
for applications.

Thus, the position offers ideal conditions for successful research and
continuing education and qualification; they provide a unique
opportunity for a challenging and demanding methodological task with
direct benefit for applications in clinical epidemiology. The position
will be limited in time. Salary is according to BAT depending on
experience and qualification. For further information, please contact
one of the following persons: Dr. Jan Beyersmann
(jan using imbi.uni-freiburg.de) or Prof. Dr. Martin Schumacher
(ms using imbi.uni-freiburg.de).

Applicants should send a letter of interest by post or email including
a statement of current and future research interests, a curriculum
vitae and a list of publications/available R packages if applicable
to:

Prof. Dr. Martin Schumacher
Institut für Med. Biometrie und Med. Informatik
Abteilung Medizinische Biometrie und Statistik
Universitätsklinikum Freiburg
Stefan-Meier-Straße 26
79104 Freiburg
e-mail: sec using imbi.uni-freiburg.de
http://www.imbi.uni-freiburg.de/




More information about the R-sig-jobs mailing list