A post-doctoral position is available in the
Department of Obstetrics and Gynecology at McMaster University Health
Sciences/Department of Clinical Epidemiology and Biostatistics, to work
on analytic methodology in the field of perinatal and maternal
epidemiology to improve the health of women and infants.
The successful candidate will be co-supervised by Dr. Sarah McDonald,
a perinatal clinical epidemiologist and high risk obstetrician and Dr.
Joseph Beyene, an academic biostatistician and methodologist. Work will
involve development and application of advanced analytic techniques
(including predictive modeling) using large perinatal data sets,
examining both maternal and infant outcomes. Opportunities include
collaborations with teams in other departments, centres, provinces and
internationally.
Applicants should have a Ph.D. in (Bio)Statistics, Bioinformatics, Computer Science, Mathematics, or a related field with an interest in applied research. Excellent communication and programming skills are required (excellent R skills would be essential; SAS would be an asset). Experience with prediction models would be important and interest in machine learning would be an asset. The applicant should be enthusiastic and comfortable working with real as well as simulated data and must be able to work independently.
The appointment will be for 2-3 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 their curriculum vitae, along with a letter expressing why they are interested in this position, copies of all their transcripts (notarized translated if necessary), for all statistical or epidemiological courses a course description including course duration, copies of all publications on which they have been an author (first or co-author), as well the names and contact information for three references by email to:
Dr. Sarah McDonald
Canada Research Chair
Departments of Obstetrics & Gynecology, Radiology, and Clinical Epidemiology & Biostatistics
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 posit
Applicants should have a Ph.D. in (Bio)Statistics, Bioinformatics, Computer Science, Mathematics, or a related field with an interest in applied research. Excellent communication and programming skills are required (excellent R skills would be essential; SAS would be an asset). Experience with prediction models would be important and interest in machine learning would be an asset. The applicant should be enthusiastic and comfortable working with real as well as simulated data and must be able to work independently.
The appointment will be for 2-3 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 their curriculum vitae, along with a letter expressing why they are interested in this position, copies of all their transcripts (notarized translated if necessary), for all statistical or epidemiological courses a course description including course duration, copies of all publications on which they have been an author (first or co-author), as well the names and contact information for three references by email to:
Dr. Sarah McDonald
Canada Research Chair
Departments of Obstetrics & Gynecology, Radiology, and Clinical Epidemiology & Biostatistics
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 posit
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