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Fwd: Advertisement: Post-doctoral Visiting Fellow in Statistics/Biostatistics




FYI,  Cheers, Richard


Begin forwarded message:

From: Karelyn Davis <karelyn.davis@hc-sc.gc.ca>
Subject: Advertisement: Post-doctoral Visiting Fellow in Statistics/Biostatistics
Date: August 19, 2014 at 6:09:24 AM PDT

Dear Dr. Lockhart,

The Population Studies Division of the Environmental Health Science and Research Bureau of Health Canada invites applications for a post-doctoral Visiting Fellow in Statistics/Biostatistics for up to two years, with emphasis on missing-data, longitudinal studies, and data mining. The position will focus on the development of statistical methods to evaluate exposure during pregnancy of chemical mixtures, and will be co-supervised by myself and Dr. Tye Arbuckle. Further detail on this position is included in the email below.

Please forward the announcement to interested parties at your convenience. We would encourage those interested to apply promptly.

Thank you,

Dr. Karelyn Davis
Health Canada


Karelyn Davis, Ph.D.  P.Stat.
Statistician / Statisticienne
Population Studies Division / Division des études sur la population
Healthy Environments and Consumer Safety Branch / Direction générale, santé environnementale et sécurité des consommateurs
Health Canada / Santé Canada
50 Colombine Driveway, Tunney's Pasture A.L. 0801A / 50, promenade Colombine, Pré Tunney P.L. 0801A Ottawa, ON K1A 0K9
613-948-9410 / Facsimile / Télécopieur 613-941-3883
Karelyn.Davis@hc-sc.gc.ca
Government of Canada / Gouvernement du Canada

Adjunct Research Professor, School of Mathematics and Statistics, Carleton University


______________________________________________________________________________________________________________________________________________

Advertisement: Post-doctoral Visiting Fellow in Statistics/Biostatistics

The Population Studies Division of the Environmental Health Science and Research Bureau of Health Canada invites applications for a post-doctoral Visiting Fellow in Statistics for up to two years, with emphasis on missing-data, longitudinal studies, and data mining. The position will focus on the development of statistical methods to evaluate exposure during pregnancy of chemical mixtures, which are used in risk assessment of chemicals such as mercury, lead, phthalates and persistent organic pollutants such as PBDEs.  Data for this project originates from a newly-conducted national study of maternal and infant contaminant levels in various biological tissues and fluids.

The workplace for the postdoctoral fellow will be the Population Studies Division of Health Canada in Ottawa where the fellow will be co-supervised by Dr. Karelyn Davis (Statistics) and Dr. Tye Arbuckle (Epidemiology). The fellow will have the opportunity to interact with other health researchers within the Division. The Population Studies Division provides statistical consultation services and engages in collaborative research with scientists throughout Health Canada and academia. Our work primarily involves studying environmental contaminants from consumer products, air, water and soil, and assessing their effects on human health. Data typically consists of either atmospheric or biological monitoring results, survey data, animal bioassays, or human epidemiological studies.

Qualifications:

Applicants must apply through the Visiting Fellowships in Canadian Government Laboratories Program in order to be considered for the position. The Program offers postdoctoral scientists the opportunity to work with supervisors in various federal government departments and research institutions. The Natural Sciences and Engineering Research Council of Canada (NSERC) administers this Program. Several Government departments and agencies, including Health Canada (HC) and the Public Health Agency of Canada (PHAC), actively participate in the NSERC Visiting Fellowship (VF) Program.

To be eligible for a Visiting Fellowship, the candidate must be within six months of completing a PhD, or have received the degree from a recognized university no more than five years prior, in a Natural Sciences and Engineering related field. To remain eligible for the Program, if the applicant withdrew from the work force and active research for maternity leave, or to raise a child for at least a year, the maximum limit is six years from the date of a candidate's PhD.

The candidate must also have obtained a valid security clearance (Reliability Status) prior to taking up the award.

Selection criteria will include demonstrated research ability in Statistics or Biostatistics, with an interest in missing-data or longitudinal data, Bayesian statistics, or data-mining.  A commitment to collaborative research and excellent verbal and written communication skills in English are requirements.  The postdoctoral fellow will be expected to participate in research leading to publications in statistical and/or environmental health journals.

How to Apply:

To apply, Form 200 from the NSERC Website must be completed by the applicant and sent to the NSERC-VF Program Administrator or Officer. NSERC also requires two independent letters of reference and a copy of the candidate's PhD diploma or degree. For more information on the application form and related documents, consult NSERC’s website http://www.nserc-crsng.gc.ca/Students-Etudiants/PD-NP/Laboratories-Laboratoires/index_eng.asp or  http://www.hc-sc.gc.ca/sr-sr/rescar/fellow-bours/visiting-eng.php for further detail.

Application Deadline:

Screening of applicants will be considered through the NSERC-VF inventory, beginning as soon as possible, until the position is filled. In order to be considered for this position, a candidate must be placed in the inventory after their application has been processed and approved. Applicants are encouraged to submit their applications at their earliest convenience.

For more information:

Please contact Dr. Karelyn Davis (karelyn.davis@hc-sc.gc.ca) or Dr. Tye Arbuckle (tye.arbuckle@hc-sc.gc.ca) for further information regarding this position.