Full Stack Developer for Mobile Health Applications

Dartmouth College-posted 3 months ago
$85,600 - $107,000/Yr
Full-time
Hybrid • Hanover, NH
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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.

  • 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.
  • 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.
  • Develops and maintains documentation of research projects including data dictionaries/libraries, programming/analytic specifications, and inclusion/exclusion criteria flowcharts/matrices.
  • Independently reviews, builds and maintains library of internal and external literature on the research project background.
  • Assist in developing pipelines to analyze clinic visit audio and video recordings using large language models (LLMs) and generative AI.
  • Support the integration of applications into electronic health record (EHR) systems to streamline workflows.
  • 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.
  • 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.
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