Machine Learning Data Analyst

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: https://modernscientistglobal.com/

Job Summary

MSG is seeking a Machine Learning 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 analyses using AI/machine learning techniques and will work with the MSG team to conduct targeted searches, review and critique modelling techniques, 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 utilizing AI/machine learning techniques
• Application of advanced statistical and machine learning techniques such as clustering, logistic regression, random forest, and deep learning
• Work efficiently with large complex datasets including thousands of observations and missing data to clean and merge datasets for analysis
• Applying advanced 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 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. The successful candidate will be recruited at the rank of Junior Scientist within MSG, depending on qualifications.

• Extensive experience with machine learning software, with strong programming expertise in Python, and libraries (e.g. Pandas, NumPy, scikit-learn)
• Prior experience with machine learning model development and evaluation
• Prior experience estimating analyzing datasets on global public health outcomes, preferably related to undernutrition
• 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: Minimum 3-6 months with possibility of extension

Hours: Up to 20 hours per week

Work Location: Remote