The mission of Dr. Sherif Eltonsy research lab is to generate real-world evidence that improve decision-making processes for the wellbeing of mothers and offspring using big data. The team brings together members from a variety of disciplines. Current projects include utilization and comparative safety of prescription medications in pregnant women. The team is also leading studies focusing on health impacts of COVID-19 on vulnerable population groups in Manitoba and Canada.
We are currently recruiting a post-doctoral fellow to work with us on real-world evidence projects related to mother-infant health, drug safety and COVID-19 in Canada. The fellow will work in collaboration with Dr. Eltonsy to take a leading role and to contribute to multiple studies using administrative health databases from Manitoba and other Canadian provinces. This position is designed for an applicant who is broadly interested in pharmacoepidemiology and real-world evidence (RWE) and who is eager to both contribute to ongoing research and to develop new research projects of mutual interest in consultation with Dr. Eltonsy. Applicants will have the opportunity to contribute to ongoing research and work closely with our collaborators across several universities in Canada.
The tasks of the Postdoctoral Fellow will include:
Conducting original research, which include designing research questions, conducting literature reviews, accessing existing data, conducting data analyses, reporting results, and drafting and revising manuscripts
Participate in writing statistical analysis plans, publications and grants
Work within a large team of research assistants and students, and provide support to the group
Salary and Term:
Salary to be negotiated based on relevant experience and training. Funding is for one year and renewable for a second year, contingent upon satisfactory progress and the continued availability of funds. The fellow will be expected to apply for postdoctoral scholarships for which they are eligible during their appointment. Funding for conference travel is also available.
February 2021 (flexible, applicants should indicate the date on which their PhD was awarded or the date their defense is scheduled); Initial remote working may be possible given the current COVID-19 situation. Review of applications will continue until the position is filled.
Interested candidates should submit a letter of interest, reprints or preprints of representative published articles, a curriculum vitae, an official/unofficial transcript, and contact information for three references to email@example.com.
The ideal candidate will meet the following qualifications:
A PhD in Epidemiology, Biostatistics, Public Health or a related field
Excellent programming skills
Ability to work as part of a team
Excellent communication skills
Research experience working with large health datasets is desirable
Experience with a wide range of epidemiologic study designs and mastery of multiple biostatistical methods is an asset
Previous experience with evidence synthesis and meta-analysis is not required, but an asset