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Fwd: MSc-level position available in Calgary






Begin forwarded message:

From: <kakopciu@ucalgary.ca>
Date: June 4, 2014 at 1:55:45 PM PDT
To: SSC Discussion <d-ssc@ssc.ca>, SSC Biostats <ssc-biostat@sfu.ca>
Subject: MSc-level position available in Calgary

Dear Colleagues:

Please bring this employment opportunity (Requisition #286824) for a
MSc-trained statistician or biostatistician to anyone who may be
interested.

Details on the position including application steps may be found here:
https://albertahealthservices.ats.hrsmart.com/cgi-bin/a/highlightjob.cgi?jobid=286824

Only applications submitted through this web page will be considered.

Thank you,

Karen Kopciuk

------------------------------------------------------------------
                    Statistical Associate II position

The Department of Cancer Epidemiology and Prevention Research has a team
of Research Scientists conducting cutting-edge, population-based cancer
research including etiology, molecular and genetic epidemiology,
nutritional and physical activity epidemiology, and biostatistics. Some
current studies focus on: the role of physical activity in cancer
prevention, rehabilitation and survival, the study of and adjustment for
diet and physical activity related measurement error, and statistical
methods for studies involving genetic data. An emerging area of research
interest within the group is the study of metabolic signatures
(metabolomics) as markers of various exposure, health and disease states.
Job Description: The Department of Cancer Epidemiology and Prevention
Research within CancerControl Alberta has a position open for a
Statistical Associate in Calgary, Alberta, Canada. This position is a
full-time 24 month temporary position, subject to renewal. The Statistical
Associate will be part of an established research support team that
includes 10
other MSc-trained biostatisticians, epidemiologists, and database and data
collection specialists. Career advancement opportunities are available
within our team for individuals who demonstrate aptitude and capability to
work at advanced technical and leadership levels. As part of ongoing
professional development, the Statistical Associate will also have
access to a support and educational network including working
collaboratively with researchers and other statisticians,
access to a SAS User Group, and monthly meetings with other research-based
staff to discuss statistical and research ideas. They will have
opportunities for further continuing education, such as attending SAS
software programming or methods workshops, weekly seminars and rounds,
journal clubs and other professional development opportunities.
Training in accelerometry data analysis will be provided through a
week-long course at the MRC Unit at the University of Cambridge.

Required Skills: The successful candidate will work primarily on data
processing and analysis of data obtained from activity monitors. This
individual will be responsible for all aspects of the data reduction,
verification, processing and analysis of the accelerometry and
inclinometry data obtained from the Actigraph GT3Xplus® and the
activPAL3®. These
activity motion detection devices capture very detailed data for every
second that they are worn. Consequently, extremely large files are
generated that require sophisticated data processing algorithms to reduce
them to variables that can be analyzed. Independent judgment, attention to
detail, ability to learn new methods and strong problem-solving skills
will be essential in performing the job duties, which include:
* manipulating large and complex data sets;
* programming and/or implementing new statistical methods in SAS;
* conducting data quality checks on new databases, making and logging
corrections;
* documenting data analysis steps;
* conducting basic and advanced statistical analyses on the derived data,
including application of techniques such as survival data analysis,
logistic regression, and multivariate methods;
* preparing written summaries of data analyses that include figures and
tables, as needed for scientific publications and presentations.

Qualifications:
* Master’s degree in Biostatistics or Statistics with advanced training
in programming and data base skills;
* Demonstrated ability to work with large, complex data sets stored in
SQL databases;
* Expert in use of SAS (SAS Certification an asset), with knowledge of
Stata and/or R an advantage;
* Minimum three years’ experience applying statistical analysis methods
in a health work place setting;
* A. Stat. or P. Stat. Accreditation is desirable;
* Excellent communication skills including advanced written and spoken
English skills;
* Ability to work collaboratively with members of an interdisciplinary team;
* Knowledge and experience with epidemiological studies, statistical
genetics, or biomarker analyses, is an asset;
* Able to travel to England for a one-week workshop.
Individuals interested in this challenging and rewarding opportunity in a
growth-oriented department should submit a resumé and cover letter
specifically describing their skills related to the requirements for this
position. Applications will be reviewed on an ongoing basis; however, the
position will remain open until filled. Only those applicants selected for
interviews will be contacted. In accordance with Canadian Immigration
requirements, priority will be given to Canadian citizens and permanent
residents of Canada, although others are encouraged to apply.

Details on the position including application steps may be found here:
https://albertahealthservices.ats.hrsmart.com/cgi-bin/a/highlightjob.cgi?jobid=286824

-----------------------------------------
Research Scientist/Statistician
Cancer Epidemiology and Prevention Research,
  CancerControl Alberta, Alberta Health Services
and Adjunct Associate Professor,
Departments of Oncology, & Mathematics and Statistics, University of Calgary

Please Note: a new mailing address effective 24th of February 2014
Cancer Epidemiology and Prevention Research
CancerControl Alberta, AHS
Richmond Road Diagnostic  & Treatment Centre
1820 Richmond Road, SW
Calgary, Alberta  T2T 5C7 Canada

Phone: (403) 955-4699 (RRDTC)
      (403) 220-6357  (HRIC) Wed and Fri
Fax:   (403) 476-2654
e-mail: kakopciu@ucalgary.ca
       Karen.Kopciuk@albertahealthservices.ca
website: www.epi-research.org