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Fwd: TWO post-doctoral positions in perinatal and maternal epidemiology at McMaster University Health Sciences




Richard Lockhart,  Professor

Stat & Act Sci; Simon Fraser Univ.     Phone:  (778) 782-3264
Burnaby BC V5A 1S6                     FAX:    (778) 782-4368
e-mail:   lockhart@sfu.ca




Begin forwarded message:

From: "Beyene, Joseph" <beyene@mcmaster.ca>
Subject: TWO post-doctoral positions in perinatal and maternal epidemiology at McMaster University Health Sciences
Date: March 10, 2017 at 5:50:33 PM GMT
To: SSC Discussion <d-ssc@ssc.ca>, SSC Biostats <ssc-biostat@sfu.ca>

Two post-doctoral fellowship positions (one in meta-analysis and a second in perinatal predictive modelling) are immediately available at McMaster University, and it would be greatly appreciated if you could circulate to anyone who may be interested in either of these positions.

Details about the positions is included below.

Regards,

Joseph Beyene 


Position #1) Post-doctoral Fellowship in Meta-analysis in Perinatology at McMaster University

 

Recent new research funds from a Canada Research Chair position have become available for a post-doctoral position at McMaster University in the Departments of Obstetrics and Gynecology /Health Research Methods, Evidence, and Impact (formerly Clinical Epidemiology & Biostatistics), to lead  perinatal meta-analyses including advanced techniques in meta-analysis and network meta-analysis to improve the health of women and infants. 

 

The successful candidate will be co-supervised in a vibrant, collaborative environment by Dr. Sarah McDonald, holder of the prestigious Canada Research Chair,  is a perinatal clinical epidemiologist and high risk obstetrician and Dr. Joseph Beyene, an academic biostatistician and Co-Convenor of the Cochrane Statistical Methods Group (SMG).  Work will involve application of advanced meta-analytic methods including both conventional as well as network meta-analysis, examining both maternal and infant outcomes. Opportunities include collaborations with teams in other departments, centres, provinces and internationally.   McMaster University, home to the Cochrane Canada Centre and the GRADE approach, is a world-leader in Knowledge Synthesis.

 

We are seeking highly motivated applicants who have a Ph.D. in (Bio)Statistics, Clinical Epidemiology, or a very closely-related field. The applicant should be enthusiastic and motivated.  Experience in research in medicine, particularly in obstetrics, neonatology or perinatology would be an asset. Being able to work as part of a team as well as independently with direction are important skills.

 

The primary responsibilities of this position involve designing and carrying out cohort studies and complimentary meta-analyses and network meta-analyses in perinatology, analyzing data using statistical packages, such as R, SAS and WinBUGS/JAGS, co-authoring and submitting manuscripts.

 

Other opportunities will include gaining experience with writing research grants and the supervision of students. The position will be 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: 1) their curriculum vitae, 2) along with a letter expressing why they are interested in this position, 3) copies of all their transcripts (notarized translated if necessary), 4) for all statistical or epidemiological courses a course description and course duration, 5) copies of  three key publications on which they have been an author (first or co-author), 6) a complete list of publications in the cv, 7) the names and contact information for three references by email (please include PDF in perinatal meta-analysis in the Subject) and 8) what website they saw this posting on, to: 

 

Dr. Sarah McDonald
Professor
Canada Research Chair
Departments of Obstetrics & Gynecology, Radiology, and Health Research Methods, Evidence, and Impact
McMaster University, 1280 Main Street West, room 3N52B; Hamilton, Ontario, Canada, L8S 4K1;

 

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.



Position #2:  Post-doctoral Fellowship in perinatal predictive modeling at McMaster University

 

Recent new research funds from 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.

 

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 related field. Excellent 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: 1) their curriculum vitae, 2) along with a letter expressing why they are interested in this position, 3) copies of all their transcripts (notarized translated if necessary), 4) for all statistical or epidemiological courses a course description including course duration, 5) copies of three publications on which they have been an author (first or co-author) as well as a complete list of publications in the cv, 6) the names and contact information for three references, and 7) what website they saw this posting on,  by email (please include Predictive Modeling PDF in the Subject) to:

 

Dr. Sarah McDonald
Canada Research Chair
Professor
Departments of Obstetrics & Gynecology, Radiology, and and Health Research Methods, Evidence, and Impact
McMaster University, 1280 Main Street West, room 3N52B; Hamilton, Ontario, Canada, L8S 4K1; Email:  mcdonals@mcmaster.ca

 

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.