PDF - Enhancing the understanding of the efficacy of probiotics strains - QC-180

Preferred Disciplines: Microbiology, Health Sciences, Biostatistics (Post-Doc)
Project length: 12 months (2-3 units)
Approx. start date: February 2019
Location: Montreal, QC
No. of Positions: 1
Preferences: None
Company: Lallemand Health Solutions

About Company:

The company located in Montreal, Quebec, performs research, produces and commercializes probiotic microbes for use as dietary supplements and potential therapeutic applications. The company is of one of the leading global producers and among the most scientifically active.

Summary of Project:

Lallemand has been working towards developing probiotics strains to target various human health areas. This project aims to enhance our understanding of the efficacy of our microbes through various preclinical and clinical studies.

Research Objectives/Sub-Objectives:

  • Lead the biostatistics portion of clinical studies, collaborating with the project team and bioinformaticians.
  • Contribute to development of the statistical analysis plan to include statistical methodology, statistical programming procedures, definition of derived variables, data-handling rules and mockups.
  • Contribute to protocol development through sample size calculations and statistical sections.
  • Develope SAS programs and macros utilities pertaining to clinical trials
  • Develope randomization program for clinical studies.
  • Independent peer review of statistical deliverables, e.g., protocols, Statistical Analysis Plans, Tables, Figures and Patient Data Listings, statistical reports, Clinical Study Reports.
  • Meta analysis to identify microbiome alterations associated with perturbation and host physiological changes.

Methodology:

  • To be discussed

Expertise and Skills Needed:

  • PhD in statistics subject, preferably with a strong medical statistics component
  • SAS or R proficiency including use of a variety of statistical procedures, e.g., nonparametric analysis, linear and non-linear models, categorical data and survival analysis and forcasting.
  •  High level of literacy – able to write reports and manuscripts in clear, accurate and concise language
  • Ability to adhere to strict guidelines and codes of practice.
  • Ability to train colleagues and explain statistical concepts to non-statisticians
  • Desire to constantly learn and take on new challenge

For more info or to apply to this applied research position, please

  1. Check your eligibility and find more information about open projects.
  2. Interested students need to get the approval from their supervisor and send their CV along with a link to their supervisor’s university webpage by applying through the webform.
Program: