Free open Job in North, South & Central America Post-doctoral Fellowship in Perinatal Predictive Modeling at McMaster University

Recent new research funds from a Canadian Institutes of Health Research grant and a Canada Research Chair position have become available for a post-doctoral position in the Departments of Obstetrics and Gynecology/Health Research Methods, Evidence, and Impact (HEI), 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 while aiming to improve the health of women and infants. 

The successful candidate will be 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. McMaster University, home to Cochrane Canada Centre and the GRADE approach, is a world-leader in Knowledge Synthesis; HEI is particularly renowned with a vibrant series of rounds and educational opportunities. Among over 18,000 universities, McMaster ranked in the top 1% of the World Universities Rankings. McMaster is Canada’s most research-intensive university, with a total research income of $379,900,000 (2017), averaging $434,700 per faculty member – more than double the national average!

We are seeking highly motivated applicants with a Ph.D. in (Bio)Statistics, Computer Science, Clinical Epidemiology, or related field. Superlative programming (SAS/R) and communication skills are required. The applicant should be able to work both as part of a team and independently, and be enthusiastic about working with real or simulated large perinatal data sets to tackle the high dimensionality of complex relationships between patient characteristics, biomarkers, & repeated measures. Experience in obstetrics or neonatology is an asset. 

Primary responsibilities involve designing and carrying out predictive modeling studies, analyzing data, supervising students, gaining experience writing publications and research grants. The position is tailored to the applicant’s career goals. 

The appointment will be for 1-3 years dependent on candidate goals, fit and productivity. Salary is commensurate with qualifications.

Interested applicants should email (Subject: “PDF in perinatal predictive modeling”) each of the following, numbered and titled per italics below (Only complete applications will be considered):

  1. curriculum vitae, including complete list of all publications, separately a list of publications in non-predatory journals, grant funding, and awards, month/year of start and completion of degrees and current position (or, please indicate if currently unaffiliated)
  2. letter (expressing why you are interested and career goals),
  3. transcripts (for each degree, notarized, translated into English, as necessary)
  4. course descriptions and duration (for all statistical/epidemiological courses, including #hours),
  5. publications (3 key English ones),
  6. references (names, titles, both email and telephone #)
  7. within your email, please include:
    1. where you saw this posting
    2. year of your PhD (or indicate “no PhD”)
    3. a table showing # peer-reviewed English publications on which you are (full text only in non-predatory journals; not abstracts):
      1. First author
      2. Senior/last author
      3. Co-author (except senior/last)
    4. Amount (currency, total) of peer-reviewed funding as:
      1. Principal Investigator
      2. Co-Investigator

to:

Dr. Sarah McDonald
Canada Research Chair
Professor
Departments of Obstetrics & Gynecology, Radiology, and Health Research Methods, Evidence, and Impact
McMaster University

mcdonals@mcmaster.ca

We thank all applicants, only those selected for interview will be contacted.

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