Assistant Research Scientist

Role Description

The Assistant Research Scientist role at Hybrid HRM is a part-time, remote position supporting research initiatives in HR analytics and AI-driven people management. Day-to-day responsibilities include collecting, cleaning, and organizing HR data; assisting with the design and execution of empirical studies; and supporting the development and testing of AI models and analytical frameworks. The role involves conducting literature reviews on HR, data science, and AI topics; preparing research summaries and reports; and contributing to academic papers, presentations, and internal documentation. The Assistant Research Scientist will collaborate with faculty, research staff, and other team members to ensure methodological rigor, reproducibility, and practical relevance of research outcomes.

Qualifications

• Strong analytical and research skills, including experience with data collection, data cleaning, and quantitative or qualitative analysis.

• Familiarity with HR concepts, people analytics, or organizational behavior, with interest in applying data and AI to HR challenges.

• Foundational skills in statistics or data science (e.g., statistical analysis, basic modeling, or use of analytical tools such as Python, R, or similar software).

• Ability to review academic and industry literature, synthesize findings, and present insights clearly in written and visual formats.

• Effective written and verbal communication skills, with attention to clarity, accuracy, and audience-appropriate language.

• Strong organizational skills, including time management, documentation, and ability to work independently in a remote environment.

• Collaborative mindset and professionalism in working with multidisciplinary teams across HR, technology, and research domains.

• Bachelor’s degree in a relevant field (e.g., Human Resources, Psychology, Data Science, Computer Science, Industrial/Organizational Psychology, or related discipline); advanced study or research experience is an advantage.

• Experience or coursework in AI, machine learning, or predictive analytics is beneficial, especially in HR or social science contexts.

• Interest in contributing to publications, conference presentations, or applied research projects in HR analytics and AI.