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Career Opportunities

 

 

Position: CANSSI Distinguished Post-Doctoral Fellow

Date posted: November 22, 2022
Department: Public Health Sciences

Description of Area or Topic of Research:

The successful applicant will be supported by funding from a Canadian Statistical Sciences Institute (CANSSI) distinguished postdoctoral fellowship and will work on a project entitled Development of innovative Bayesian methods to address statistical challenges in longitudinal electronic health record data. Specifically, the postdoctoral fellow will work on developing innovative, flexible, generalizable and interpretable Bayesian methods to analyze large and complex real-world clinical and public health data. The methodological contribution will focus on patient phenotyping and causal inference under longitudinal settings. This research also includes the development of accompanying software packages, open-access code, and tutorials to facilitate a wide application of the proposed methods.

More details regarding the research project and the training environment can be found here: https://incass.ca/wp-content/uploads/Development-of-innovative-Bayesian-methods-to-address-statistical-challenges-in-longitudinal-electronic-health-record-data.pdf 

Supervision and Academic Unit:

Dr. Zihang Lu (Primary supervisor, Biostatistics Program, Department of Public Health Science, Queen’s University)

Dr. Kuan Liu (Co-supervisor, Biostatistics Program, Dalla Lana School of Public Health, University of Toronto)

Dr. David Stephens (Mentor and collaborator, Department of Mathematics and Statistics, McGill University)

Salary: $70,000 per year
Start Date and Duration of Appointment: 2 years (24 months)

Required Qualifications:

  • A doctoral degree in Biostatistics or Statistics
  • Strong programming skill; Proficient in R, C++ and SAS.
  • Knowledge of Bayesian statistical methods and modelling
  • Strong communication, written and analytical skills
  • Experience in collaborative research
  • Ability to independently organize workload, set goals and work effectively towards deadlines
  • Experience with analyzing clinical and public health data is an asset

Please apply through CANSSI website: https://canssi.ca/program/distinguished-postdoctoral-fellowships/.

Application Deadline: January 15, 2023

EMPLOYMENT EQUITY: The University invites applications from all qualified individuals.  Queen's is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized/visible minority and Indigenous/Aboriginal people, women, persons with disabilities, and 2SLGBTQ+ persons.

ACCOMMODATION IN THE WORKPLACE: The University has policies in place to support its employees with disabilities, including an Accommodation in the Workplace Policy and a policy on the provision of job accommodations that take into account an employee's accessibility needs due to disability. The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant's accessibility needs. If you require accommodation during the interview process, please contact Zihang Lu at zihang.lu@queensu.ca or 613-533-6000, Extension 79336.

Position: Postdoctoral Fellow- Mobility (GPS) Research
Date posted: November 1, 2022

Site: Remote or Onsite (Queen’s University, Kingston, Ontario)
Department: Public Health Sciences
Reports to: Principal Investigator (Dr. Sahar Saeed)
Hours: 37.5 hours per week

Queen’s University is looking for an experienced professional to fill the key role of a Postdoctoral Fellow in our Public Health Sciences Department.

Are you a recent biostatistics or epidemiology Ph.D. graduate with experience analyzing aggregation data drawn from anonymous mobile data? We are looking for a postdoctoral fellow interested in building a career in data science.

Smartphones have become an essential part of our daily lives. Globally it is estimated there are 6.6 billion smartphone users, and by 2026 this is expected to increase to 7.5 billion. The unprecedented number of people with access to smartphones has created an opportunity to amass and track population-level mobility patterns through Global Positioning Systems (GPS). The COVID-19 pandemic exposed the capacity of using mobility data as an epidemiological surveillance tool to support public-health decision making. We are looking for a post-doctoral fellow interested in expanding on our team's mobility research which used aggregated location data to track the spread of SARS-CoV-2. You will lead projects that will identify disparities and evaluate the impact of the COVID-19 pandemic at long-term care facilities and hospitals. You will be working with a team of experts in epidemiology, biostatistics, geriatrics, and geospatial analytics and providing new insights on optimally leveraging anonymous mobility data that can continue to inform public health decision-making post-pandemic.

Job Description:

The post-doctoral fellow will work under the direction of the PI, but we encourage them to bring their own ideas and expertise. Candidates are expected to hold a Ph.D. from a recognized university. Candidates who are close to finishing their PhDs but have not published are also encouraged to apply. All candidates should have at least one manuscript published at the time of the application (illustrating advanced quantitative skillsets). The PI will encourage the fellow to use this fellowship (data/project) as a springboard to an independent academic career.

Qualifications:

  • Recently graduate from a Ph.D. program in biostatistics, computer science or epidemiology (with a strong quantitative background) or equivalent (required)
  • Expertise in R, Python or equivalent (required)
  • Experience using location data or similar is required (candidates should include a brief summary of the data source they used, in their cover letter)
  • An established track record in publications is an asset
  • Excellent organizational and analytical skills, along with a high degree of independence and flexibility, to thrive in a novel and rapidly evolving research environment.
  • Ability to write scientific communications
  • Excellent initiative and leadership qualities

Salary: $50,000 per year Contract length: 12 months (starting January 2023).

Qualified candidates should send their CVs, transcripts and a cover letter indicating how they meet the job description to the PI (sahar.saeed@queensu.ca) by December 31st, 2022.

EMPLOYMENT EQUITY: The University invites applications from all qualified individuals.  Queen's is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized/visible minority and Indigenous/Aboriginal people, women, persons with disabilities, and 2SLGBTQ+ persons.

ACCOMMODATION IN THE WORKPLACE: The University has policies in place to support its employees with disabilities, including an Accommodation in the Workplace Policy and a policy on the provision of job accommodations that take into account an employee's accessibility needs due to disability. The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant's accessibility needs. If you require accommodation during the interview process, please contact Sahar Saeed at sahar.saeed@queensu.ca.