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加拿大麦克马斯特大学招聘围产期医学预测模型方向博士后

2017-11-28 08:50 来源: 留学人才网整理 作者: liuxuehr

Recent new research funds from a Canadian Institutes of Health Research (CIHR) grant and a Canada Research Chair position have become available for a post-doctoral position in the Department of Obstetrics and Gynecology at McMaster University Health Sciences/ Health Research Methods, Evidence, and Impact (formerly Clinical Epidemiology & Biostatistics), to develop and apply novel, advanced analytic methodology to build, validate and apply novel predictive models of complex biological processes to study maternal and neonatal diseases to improve the health of women and infants. This postdoctoral fellowship will enable fellows to extend knowledge in their research areas, conduct successful interdisciplinary research projects, enhance writing and communication skills and establish new peer networks.

The successful candidate will be co-supervised in a vibrant, collaborative environment by Dr. Sarah McDonald, holder of a prestigious Canada Research Chair, a perinatal clinical epidemiologist and a high risk obstetrician and Dr. Joseph Beyene, an academic biostatistician and methodologist.  Opportunities include collaborations with teams in other departments, centres, provinces and internationally.

We are seeking highly motivated applicants who have a Ph.D. in (Bio)Statistics, Computer Science, Clinical Epidemiology, or a closely related field. Applicants who hold an MD will not be able to be considered. A PhD is mandatory. Superlative programming (SAS/R) and communication skills are required. The applicant should be enthusiastic about working with real as well as simulated large data sets to tackle the high dimensionality of complex relationships between patient characteristics, biomarkers, & repeated measures to examine maternal and infant outcomes using large perinatal data sets. Experience in obstetrics, neonatology or perinatology would be an asset. Being able to work as part of a team as well as independently are important skills.

The primary responsibilities of this position involve designing and carrying out predictive modeling studies, analyzing data using R or SAS, co-authoring and submitting manuscripts and research grants. Other opportunities will include gaining experience with writing publications and grants and the supervision of students. The position is tailored to the applicant’s career goals.

The appointment will be for 1-3 years dependent on the candidate’s goals, qualifications, fit and productivity. Salary is commensurate with qualifications. McMaster University is recognized and internationally ranked research and educational institution, and the Dept of Clinical Epidemiology & Biostatistics is particularly renowned with a vibrant series of rounds and other educational opportunities.

Interested applicants should send a complete application which consists of all the following 8 numbered components.  Applications that do not include all 8 of the numbered components will not be able to be considered.  

Within the body of the email, please include:

1) what website you saw this posting on and

2) the following table, completed with your information

Do you have a PhD? (write Yes or No; if you have an MD, indicate “No” below)

# of peer-reviewed English language publications on which you are

Amount (in currency and the #) of peer-reviewed funding you have received as

first author

senior (=last) author

co-author (except for senior/last)

Principle Investigator

Co- Investigator

 

 

 

 

 

 

The following attachments should be included, numbered and named as per the italic words:

3) CV (curriculum vitae), which includes a complete list of publications, grant funding, awards,

4) letter (expressing why you are interested in this position and what their career goals are),

5) transcripts (required for each degree, notarized and translated into English)

6) course descriptions and duration (for all statistical or epidemiological courses, including the number of hours),

7) publications (up to 3 key English ones, on which you have been either first author or a co-author),

8) references (the names, titles and contact information with both email and telephone #).

 in an email to:  obsres@mcmaster.ca entitled “PDF in perinatal predictive modeling” in the Subject line to:

Dr. Sarah McDonald

Professor

Canada Research Chair

Departments of Obstetrics & Gynecology, Radiology, and Health Research Methods, Evidence, and Impact
McMaster University, Hamilton, Ontario, Canada.

Applications will continue to be processed until the position is filled. We thank all applicants, but only those selected for an interview will be contacted.

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