Post-doctoral Fellowship in Perinatal Predictive Modeling
Health and Medical,Medicine and Dentistry,Biological Sciences,Biology,Mathematics and Statistics,Statistics,Computer Science,Computer Science
Short info about job
Company: McMaster University
Salary: Not specified
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1253 2904754
Fax: +44-1323 3450500
Detail information about job Post-doctoral Fellowship in Perinatal Predictive Modeling. Terms and conditions vacancy
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. 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 related field. 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:
Dr. Sarah McDonaldCanada Research ChairProfessorDepartments 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: [email protected]
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.