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The Department of Computer Science and Engineering at The Ohio State University is seeking a part-time Applications Analyst to support the development of a non-enterprise research prototype mobile application for an interdisciplinary pilot project at the intersection of AI, nutrition, physical activity, and digital health.

The project aims to develop a community-informed mobile application that uses modern AI systems to support low-burden dietary assessment, lifestyle-change feedback, and research data collection. The application will allow users to provide food and lifestyle information through images, speech, and text, receive clarifying follow-up questions, and eventually support integration with physical activity data. The platform will also support export and aggregation of user-level dietary and activity measures for clinicians and researchers.

The analyst will work closely with faculty, students, dietitians, clinicians, and community stakeholders to design, implement, test, and document a high-quality prototype application for iOS and Android. This is an excellent opportunity for an analyst interested in building real-world AI/ML-enabled software for health research and human-centered applications.

Required:

Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Software Engineering, Human-Computer Interaction, Information Systems, or a closely related field. 0 years of relevant experience required. 0-2 years of relevant experience preferred.

Strong programming skills and experience developing mobile applications for iOS and/or Android.

Experience with Python and/or JavaScript/TypeScript, and familiarity with modern app-development frameworks such as React Native, Flutter, Swift, Kotlin, or similar tools.

Experience building or integrating backend services, REST APIs, databases, and user-facing software systems.

Experience using Git and collaborative development platforms such as GitHub or GitLab.

Strong debugging, testing, documentation, and software-maintenance skills.

Ability to work independently, manage priorities, and communicate effectively in an interdisciplinary research environment.

Desired

Experience with AI/ML-enabled applications, LLM APIs, multimodal AI systems, or applied machine-learning software.

Experience with mobile health, digital health, nutrition, behavior-change, wearable/sensor data, or human-centered application development.

Experience with cloud platforms, containers, CI/CD workflows, authentication systems, secure data handling, or research software deployment.

Experience developing prototypes that involve user feedback, usability testing, or iterative design.

Interest in responsible AI, health equity, community-engaged research, or AI applications for public health.

Ability to communicate technical ideas clearly to both technical and non-technical collaborators.

This is a part-time, term-limited position supporting a funded pilot project. The analyst will report to Prof. Sachin Kumar in the Department of Computer Science and Engineering and Dr. Amaris Williams, Research Assistant Professor in the College of Medicine, and will collaborate with an interdisciplinary team across computer science, internal medicine, nutrition, behavioral science, and digital health.

Work may be hybrid depending on project needs and university policy. The position is expected to support development of a functional research prototype and related technical deliverables.

The target hiring range for this job profile is $26.78 - $34.90 paid hourly, biweekly.. The actual salary paid to an individualwill vary based on multiple factors, including but not limit to, education, years of experience, internal equity, etc.

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