Regarding the following job announcement,  
please direct all replies to UCSF HR, not to 
me or the list.

Thanks,

-----------------------------------------------------
Steve Gregorich
  University of California, San Francisco
  Department of Medicine
  3333 California Street, #335D, Box 0856
  San Francisco, California 94143, USA
[EMAIL PROTECTED]
http://sites.netscape.net/gregorich/index.html
-----------------------------------------------------


Job Announcement:

Senior Statistician in Prevention Sciences.
The Center for AIDS Prevention Studies (CAPS) 
of the University of California, San Francisco (UCSF)
Department of Medicine, is currently, seeking 
applicants for the position of Senior Statistician.  
This is a full-time, permanent position.

I.  About CAPS/UCSF
CAPS is a multidisciplinary organization devoted 
to the furtherance of practical research, knowledge, 
and theory related to HIV/AIDS prevention.  CAPS, 
with the Prevention Sciences Group (PSG) of 
UCSF, employs over 200 scientists and staff 
members.  The focus is multi-disciplinary including 
research into primary, secondary, and tertiary 
HIV/AIDS prevention, both nationally and 
internationally.  In its 14+ years of existence, CAPS 
has established an excellent track record of funding, 
scientific investigation, publication, and public service.  
CAPS also employs several statisticians, allowing the 
successful candidate to enjoy a high level of collegial 
stimulation in the area of applied statistics.

CAPS is a part of the AIDS Research Institute (ARI) 
of UCSF--a network of over a dozen AIDS-related 
research centers and organizations located at UCSF.  
Although the emphasis of CAPS� research is primarily 
prevention, CAPS� affiliation with ARI and PSG allows 
for research opportunities at the intersection of 
behavioral, epidemiological, and medical science.

II.  Job qualifications

II.A.   Statistical
The successful candidate will be responsible for design 
and analysis of scientific investigations. He/She will 
perform statistical analyses and write analysis plans, 
statistical sections of protocols, and sections of 
integrated reports.  A strong interest in statistical 
applications and expert knowledge in the following 
areas is required: Design of experimental and 
observational investigations; general linear models; 
generalized linear models; psychometrics; as well as 
proficiency in either SAS or SPSS for data management 
and statistical analysis.  In addition, candidates should 
have expertise in one or more of the following areas: 
Models for longitudinal and clustered data (e.g., multilevel 
models, GEE); structural equation modeling; multiple 
imputation and likelihood-based approaches to handling 
missing data; robust procedures; survival analysis; and 
survey sampling. The incumbent will be required to 
manipulate and manage complex longitudinal data bases.  
He/She may also be responsible for the design of data 
bases as well as the supervision and quality assurance 
of data entry and the quality control of entered data.

II.B.   Other Required Skills, Knowledge, & Abilities.

(1)  A background in prevention and/or behavioral 
sciences is strongly desired, including familiarity with 
applied behavioral science theories and research.  
(2)  Excellent interpersonal skills will allow effective 
interaction with a variety of investigators and staff.  
(3)  The successful candidate must be able to collaborate 
effectively with a variety of investigators to develop 
research proposals, as well as analysis and presentation 
strategies.  (4)  Excellent oral and written communication 
skills are necessary.  (5)  Finally, excellent organizational 
skills are required to balance work on different projects 
while meeting deadlines in a timely fashion.
 
II.C.   Educational

A Ph.D. in statistics or behavioral sciences with a 
quantitative emphasis. A face-to-face interview will be 
required of selected candidates. 

Salary Range: $56,256.00 - $86,176.00. 
UCSF offers a generous benefits package.  
Start Date: Immediately. 

Please send a cover letter and CV to:
UCSF Human Resources Department
3333 California Street, Suite 305
San Francisco, CA 94143-1202
E-mail: [EMAIL PROTECTED] 






=================================================================
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
                  http://jse.stat.ncsu.edu/
=================================================================

Reply via email to