Posting date
04/03/2024 Open Until Filled
Yes Position Number
1128823 Department this Position Reports to
Center for Technology and Behavioral Health 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 Location of Position
Lebanon, NH 03766
CTBH
46 Centerra, Suite 315 Remote Work Eligibility?
Remote eligible Is this a term position?
No If yes, length of term in months.
N/A 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. 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 Required Qualifications - Skills, Knowledge and Abilities 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 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. 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. Department Contact for Recruitment Inquiries
Jamie Ibey Department Contact Phone Number Department Contact for Cover Letter and Title
Paul Barr Equal Opportunity Employer
Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged. Background Check
Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. Is driving a vehicle (e.g. Dartmouth vehicle or off road vehicle, rental car, personal car) an essential function of this job?
Not an essential function Special Instructions to Applicants
This position is funded by a grant. Continuation is based upon available funds.
Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy. Quick Link 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. Percentage Of Time
50 Description 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. Percentage Of Time
40 Description 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. Perform additional duties as assigned, demonstrating flexibility and a commitment to advancing the center's mission. Performs other duties as assigned. Percentage Of Time
10 Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others. Performs other duties as assigned.
