Key Responsibilities: Create robust, production-ready code that can be reused across projects, improving the delivery speed of data analysis’ results. Make the code modular, scalable, documented and easier to maintain. Projects can be broken up into 3 phases: (1) study design, (2) collection + annotation, and (3) analysis + presentation. For each phase develop, document, automate and release tools for: Statistical analysis (e.g., hypothesis testing) Generation and manipulation of prompts (.json) Field data checks Issues fix Interpretation/summarization/analysis/coding of free-form text Analysis and implementation of best data visualization options Reports generation Analysis of intersectionalities Cluster identification and analysis Analysis of timestamps (from video and audio files) Unit and integration testing Code and process documentation Required Qualifications: Education: No less than an Bachelor’s Degree (BS) in Computer Science, Software Engineering, or a related field Experience: A minimum of 5+ years of experience in software development, with a strong focus on Python Proven experience in refactoring and optimizing large codebases As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.