Full Stack Developer for Mobile Health Applications

Company: Dartmouth College

Job Location: Category: Programmer/Analyst, Type: Full-Time

Posting date: 06/19/2025

Open Until Filled: Yes

Position Number: 1129356

Hiring Range Minimum: $85,600

Hiring Range Maximum: $107,000

Union Type: Not a Union Position

SEIU Level: Not an SEIU Position

FLSA Status: Exempt

Employment Category: Regular Full Time

Scheduled Months per Year: 12

Scheduled Hours per Week: 40

Schedule: 8-5, M-F

Location of Position: Lebanon, NH 03776, CTBH, 46 Centerra, suite 315

Remote Work Eligibility: Hybrid

Is this a term position?: No

Is this a grant funded position?: Yes

Position Purpose: To spearhead the development and implementation of innovative mobile health applications and backend systems at the Center for Technology and Behavioral Health with both the AI and Mental Health: Innovation in Technology Guided Healthcare (AIM HIGH) Laboratory and the Open Recordings research team. This role supports the creation of tools for passive data collection, digital therapeutics, collection of patient visit data, and personalized health interventions, aiming to enhance the assessment, monitoring, and treatment of biomedical, mental health and substance use disorders. The position plays a critical role in research and development efforts, from concept to deployment, ensuring the delivery of scalable, secure, and user-centric solutions for both research and clinical applications.

Required Qualifications - Education and Yrs Exp: Bachelors plus 3-5 years' experience or equivalent combination of education and experience

• Bachelor's degree in computer science, data science, software engineering, or a related field.
• 3-5 years of professional experience in full stack development, with a strong portfolio of mobile and web applications.
• Proven expertise in Flutter, Google Cloud Compute, Firestore, Amazon Web Services, and Python (including Flask).
• Demonstrated ability in developing backend systems, APIs, and data storage solutions.
• Experience architecting maintainable full stack solutions with multi-developer teams.
• Experience in implementing data visualization and machine learning models on mobile devices.
• Excellent problem-solving skills, with the ability to manage complex projects and multi-task effectively.
• Strong communication skills, capable of working collaboratively with interdisciplinary teams.

Preferred Qualifications:

• Master's degree in computer science, data science, software engineering, or a related field.
• Experience with health-related mobile app development and familiarity with digital health regulations.
• Proficiency in statistical and machine learning models using Python.
• Experience in human-subjects research.
• Experience disseminating computational products/code via open-source venues.
• Knowledge of passive sensor data collection and processing from smartphones and wearable devices.
• Experience in developing technology-based interventions for mental health and substance use disorders.
• Experience developing systems that easily adapt to multiple use-cases.

Description: Full Stack Development and Mobile Health Innovation: Design and develop full stack mobile applications focused on health data collection, patient engagement, and digital therapeutics, using Flutter, Google Cloud Compute, Firestore, Amazon Web Services, and Python (including Flask). Implement and maintain backend services for data storage, processing, and security, ensuring compliance with medical data regulations. Create research-facing dashboards for monitoring participant compliance, data fidelity, and study progress. Develop on-device data visualization and machine learning models for personalized feedback and adaptive interventions. Lead the development of applications for recording medical appointments and facilitating patient feedback, ensuring seamless integration and user experience. Independently engages with internal and 3rd-party stakeholders managing related infrastructure. (Percentage Of Time: 50)

Data Engineering and Machine Learning: Independently prepares written and oral reports from the results of the dataset development and disseminates results to research team in a timely manner. Proactively prepares for and engages thoughtfully in research project discussions about the research concepts and goals. Asks questions to help facilitate a strong foundational understanding of the research project. Develops and maintains documentation of research projects including, but not limited to, data dictionaries/libraries, programming/analytic specifications, inclusion/exclusion criteria flowcharts/matrices, and headers to ensure replication. Independently reviews, builds and maintains library of internal and external literature on the research project background to further understand the research concepts and check results. Independently categorizes literature based on applicability to project and summarizes findings for presentation to the research team. LLM and AI-Powered Analysis: Assist in developing pipelines to analyze clinic visit audio and video recordings using large language models (LLMs) and generative AI to enhance understanding of patient-provider communication. Collaborate on efforts to integrate these tools into decision support systems and patient feedback interfaces. EHR Integration: Support the integration of applications into electronic health record (EHR) systems to streamline workflows and enhance the utility of patient-facing recordings within clinical care. (Percentage Of Time: 40)

Professional Development and Collaboration: Engage in continuous learning to stay abreast of the latest developments in mobile health technology, data science, and machine learning. Participate in collaborative discussions, contributing technical expertise to support the center's research goals and initiatives. Engages students in developmental and research opportunities. Perform additional duties as assigned, demonstrating flexibility and a commitment to advancing the center's mission. (Percentage Of Time: 10)