Seeking a highly qualified Python research software consultant to assist in refactoring, organizing, and documenting two related social science research codebases for publication-grade reproducibility and open-source public release. This is a short-term, remote consulting opportunity with competitive compensation.

Responsibilities:

Improve the clarity, structure, reproducibility, and maintainability of both codebases.
Develop clear documentation, including README files, docstrings, in-code comments, and usage examples.
Ensure reliable, reproducible execution from raw data to final analytical outputs.

Scope:

The two codebases together include approximately 20 Jupyter notebooks, some as long as 3,000 lines. The consultant will focus on the highest-priority components necessary to produce a clean, reproducible, publication-ready codebase, rather than refactoring every notebook in full.

Qualifications:

Ph.D., advanced graduate student, or experienced research software engineer in computer science, software engineering, data science, or a related field.
Strong expertise in Python.
Experience refactoring, organizing, and documenting research codebases preferred.
Experience preparing computational research code for peer-reviewed publication and computational reproducibility, especially code supporting a major article submission in computational social science or related fields, preferred.
Experience with hierarchical Bayesian modeling preferred.
Experience preparing codebases for open-source public release preferred.
Experience with reproducible research practices, including environment management, workflows, and version control, preferred.
Experience with SQLAlchemy preferred.

Responsibilities:

Improve the clarity, structure, reproducibility, and maintainability of both codebases.
Develop clear documentation, including README files, docstrings, in-code comments, and usage examples.
Ensure reliable, reproducible execution from raw data to final analytical outputs.

Scope:

Qualifications:

Ph.D., advanced graduate student, or experienced research software engineer in computer science, software engineering, data science, or a related field.
Strong expertise in Python.
Experience refactoring, organizing, and documenting research codebases preferred.
Experience preparing computational research code for peer-reviewed publication and computational reproducibility, especially code supporting a major article submission in computational social science or related fields, preferred.
Experience with hierarchical Bayesian modeling preferred.
Experience preparing codebases for open-source public release preferred.
Experience with reproducible research practices, including environment management, workflows, and version control, preferred.
Experience with SQLAlchemy preferred.

Responsibilities:

Improve the clarity, structure, reproducibility, and maintainability of both codebases.
Develop clear documentation, including README files, docstrings, in-code comments, and usage examples.
Ensure reliable, reproducible execution from raw data to final analytical outputs.

Scope:

Qualifications:

Ph.D., advanced graduate student, or experienced research software engineer in computer science, software engineering, data science, or a related field.
Strong expertise in Python.
Experience refactoring, organizing, and documenting research codebases preferred.
Experience preparing computational research code for peer-reviewed publication and computational reproducibility, especially code supporting a major article submission in computational social science or related fields, preferred.
Experience with hierarchical Bayesian modeling preferred.
Experience preparing codebases for open-source public release preferred.
Experience with reproducible research practices, including environment management, workflows, and version control, preferred.
Experience with SQLAlchemy preferred.

Python Research Software Consultant

Texas Southern University

Houston, TX, USA