Post Doctoral Fellow, Meta-Analysis of SME Growth Studies

About the Project The SSHRC-funded HubMeta Lab project; Calgary; On-site; CAD 41,000 - 49,000; Full time

Job summary

A research project focused on entrepreneurship is seeking a Postdoctoral Fellow in Calgary. The successful candidate will lead the development of a measurement taxonomy and support AI integration processes. Required qualifications include a recent PhD and expertise in meta-analysis and coding techniques. This full-time position will offer a salary of up to $49,000 per annum with a closing date for applications on July 28, 2025.

Benefits

Travel allowance: $6000 CAD

Qualifications

• PhD awarded within the last 5 years in a relevant field.
• Demonstrated expertise in meta-analysis and quantitative synthesis methods.
• Hands-on experience with coding large datasets and developing taxonomies.

Responsibilities

• Lead the data cleaning and measurement taxonomy development.
• Audit and harmonize existing variable codings across articles.
• Mentor PhD-level and undergraduate RAs on coding and platform use.

Skills

Expertise in meta-analysis

Proficiency in Python

Proficiency in R

Attention to detail

Strong written communication

Education

PhD in related field

Tools

SQL

NoSQL

Job description

Description

About the Project

The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2500 full-text articles coded to date). We have uncovered extraordinary variability in how key constructssuch as firm sizeare operationalized with 65 distinct measures documented. To advance cumulative knowledge in entrepreneurship we are building an AI-assisted measurement taxonomy within our HubMeta platform.

About the Role

The Postdoctoral Fellow will lead the data cleaning measurement taxonomy development and AI-integration phases of the project. Reporting to the Principal Investigator (Dr. Hadi Fariborzi) you will design implement and validate a standardized library of constructs and measures; work closely with our PhD RAs and undergraduates; and ensure seamless deployment in the HubMeta system.

This is a full-time limited term position working 35 hours per week and ending July 24 2026.

Responsibilities

Measurement Taxonomy

• Audit and harmonize existing variable codings across 2500 articles
• Develop hierarchical taxonomy of constructs (e.g. firm size growth metrics)
• Define metadata standards and coding protocols

Platform Integration

Collaborate with HubMeta developers to embed taxonomy in AI-assisted workflows

Prototype and test automated classification scripts (Python / R)

Document data pipelines and QA / QC procedures

Supervision & Training

Mentor PhD-level and undergraduate RAs on taxonomy coding and platform use

Lead weekly meetings with project team to review progress and resolve ambiguities

Prepare training materials codebooks and user guides

Research & Dissemination

Co-author peer-reviewed manuscripts on taxonomy development and methodological advances

Present findings at the Academy of Management Annual Meeting (travel allowance : $6000 CAD)

Contribute to grant reports and progress updates for SSHRC

Qualifications

PhD (awarded within the last 5 years) in Entrepreneurship Strategic Management Organizational Studies Information Science or related field

Demonstrated expertise in meta-analysis systematic reviews or quantitative synthesis methods

Hands-on experience with coding large datasets developing taxonomies / ontologies and implementing AI / ML classification pipelines

Proficiency in Python and / or R; familiarity with database management (SQL NoSQL) strongly preferred

Excellent organizational skills attention to detail and commitment to data integrity

Strong written and oral communication; evidence of peer-reviewed publications

Ability to work collaboratively in a multidisciplinary remote-capable research environment

Salary : Up to $49000.00 per annum depending on experience

Closing Date : July 28 2025

A cover letter and resume should be submitted in one .pdf document. Please title your .pdf document as follows : Last Name Requisition Number Document (ex. Smith 999999 ).

Key Skills

Teacher Coaching,Public Health,Google Docs,Classroom Experience,Systems Engineering,Research Experience,Teaching,Grant Writing,Leadership Experience,Mentoring,Public Speaking,Writing Skills

Employment Type : Temp

Experience : years

Vacancy : 1