Data Analyst

2 weeks ago

Remote, Canada Modern Scientist Global Full time

About Us

Modern Scientist Global (MSG) is a health and life sciences research consulting firm based in Canada. We work on an array of projects related to global health and engage in a suite of research activities to help our clients answer important questions. Our goal is to provide the best research tailored to our clients' needs with innovative methodology and an eye toward practicality and effective dissemination. MSG is seeking team members who are dedicated to and passionate about global public health and nutrition.

To find out more, visit our website at:

Job Summary

MSG is seeking a Data Analyst to provide support on projects related to maternal, newborn, child health (MNCH) and nutrition in low- and middle-income countries. This work involves analysis of various nutrition and MNCH-related datasets. The successful candidate will conduct advanced statistical analyses and will work with the MSG team to conduct targeted searches, review and critique statistical models, clean and merge large datasets, develop models, and disseminate findings.

Individuals will be able to work remotely, with regular engagement with the rest of the team at MSG through virtual office hours.

Responsibilities

Core responsibilities for the successful candidate include:

  • Analyzing a variety of health and nutrition-related datasets
  • Work efficiently with large complex datasets including thousands of observations and missing data to clean and merge datasets for analysis
  • Applying advanced statistical methodologies to analyze and weight datasets
  • Development of technical reports, presentations, and other dissemination activities
  • Collaboration with fellow research analysts and scientists
  • Other duties and roles as agreed upon with supervisor

Qualifications

The successful candidate must have either a graduate degree in statistics, biostatistics, epidemiology or other quantitative field (MSc or higher) with at least two (2) years of experience in conducting advanced statistical analysis of large datasets, or a bachelor's degree in statistics, biostatistics, or other quantitative field with three to five (3-5) years of experience. The successful candidate will be recruited at the rank of Junior Scientist within MSG, depending on qualifications.

  • Extensive experience with R, Stata, SAS, or SPSS software.
  • Prior experience estimating analyzing datasets on global public health outcomes, preferably related to undernutrition.
  • Prior quantitative research experience applying advanced statistical techniques.
  • Prior experience working with large household datasets.
  • Proficiency with Microsoft Office Suite.
  • Excellent interpersonal, communication (oral and written) and organizational skills.
  • Detail-oriented, with excellent analytical thinking skills, a propensity to take initiative and a demonstrated ability to exercise good judgment.
  • The ability to produce high-quality, accurate work in a timely way, and in accordance with project deadlines.
  • Excellent teamwork skills and a demonstrated ability to collaborate effectively with team members and liaise with study investigators.

Start Date: Immediate

Salary: Will be commensurate with experience and qualifications

Contract length: 6 months with the possibility of extension

Hours: part-time

Job Type: Part-time

Education:

  • Bachelor's Degree (required)

Work Location: Remote

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