Easy Tech Associate Jobs in Rhode Island (NOW HIRING)

Posting Details
Position Information
Posting Number
SF02136
Job Title
Research Associate/Data Analyst III
Position Number
000000
FTE
1.00
FLSA
Exempt
Position Type
Professional Staff
Union
PSA/NEA - Professional Staff Assoc
Pay Grade Level
Grade Level: 12
Pay Grade Range
Anticipated Hiring Salary Range: $80,000 - $85,000
Status
Calendar Year, Full-time, Limited
Department Information
Department
Psychology
Contact(s)
Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu)
Contact Phone/Extension
Contact Email
Physical Demands
Campus Location
Kingston
Grant Funded
Yes
Extension Contingency Notes
The position is full-time, calendar year, limited to 02/28/2027 with anticipated renewal.
Job Description Summary
The search will remain open until the position has been filled. First consideration will be given to applications received by May 18, 2026. Applications received after May 18, 2026 may be reviewed depending on search progress and needs but are not guaranteed full consideration.
About URI: The University of Rhode Island enrolls approximately 17,000 students across its graduate and undergraduate programs and is the State's flagship public research university, as well as the land grant and sea grant university, for the state of Rhode Island. The main campus is located in the historic village of Kingston, and the Bay Campus is located in Narragansett. Both campuses are near major beaches in a beautiful coastal community. URI is just 30 minutes from Providence, RI and within easy reach of Newport, Boston, and New York City.
POSITION SUMMARY:
Work with a multidisciplinary team of psychologists on a five-year NIH-funded project using intensive longitudinal data (i.e., wearable alcohol sensor and ecological momentary assessment surveys) to evaluate proximal associations between acute use of use and suicide risk, as well as to identify underlying psychological mechanisms, following residential alcohol use treatment. Will be responsible for managing, integrating, and analyzing intensive longitudinal data derived from ecological momentary assessment protocols and wearable sensor technologies, including the Skyn device. This role involves preprocessing and quality assurance of high-frequency, multimodal data streams; developing analysis-ready datasets; and applying statistical methods to examine within-person dynamics and between-person differences in behavioral and physiological processes.
Duties and Responsibilities
KEY DUTIES AND RESPONSIBILITIES:Manage, preprocess, and ensure quality control of intensive longitudinal data collected through ecological momentary assessment and wearable sensors, including the Skyn device.
Integrate multimodal data streams (self-report from ecological momentary assessment and physiological data from Skyn) into analysis-ready datasets.
Apply statistical models to examine within-person dynamics and between-person variability (e.g., DSEM, GIMME).
Address challenges inherent to ecological momentary assessment and wearable data, including
missingness, compliance, temporal alignment, and noise.
Collaborate with interdisciplinary research teams to translate scientific questions into appropriate analytic strategies.
Create clear data visualizations, summaries, and reports to support interpretation.
Contribute to study design, analytic planning, and dissemination of findings through manuscripts,
presentations, and reports.
Maintain reproducible research workflows, including documentation, version control, and secure data management in compliance with IRB and data privacy requirements.
Provide direct supervision in data science to staff and students.
OTHER DUTIES AND RESPONSIBILITIES:
Perform other duties as assigned.
LICENSES, TOOLS, AND EQUIPMENT:
Personal computers, printers; Microsoft Office Suite (Word, Excel, PowerPoint, Publisher); SPSS;
MPlus; Endnote; relevant laboratory equipment. Must have own transportation.
Required Qualifications
REQUIRED QUALIFICATIONS:
1. Master's degree in Data Science, Statistics, Biostatistics, Computer Science, Psychology, Biomedical Engineering, or a related quantitative field.
2. Strong experience working with intensive longitudinal or time-series data.
3. Proficiency in R and/or Mplus for data wrangling, statistical modeling, and visualization.
4. Experience processing and analyzing ecological momentary assessment and wearable sensor data, particularly from the Skyn device.
5. Knowledge of ecological momentary assessment and wearable sensor data methodologies and challenges (e.g., missingness, compliance, temporal alignment).
6. Demonstrated ability to work independently while collaborating in multidisciplinary research environments.
7. Demonstrated organizational and prioritization skills.
8. Demonstrated strong interpersonal and verbal communication skills.
9. Demonstrated proficiency in written communication skills.
10. Demonstrated ability to write effectively in scientific formats.
11. Demonstrated ability to work with diverse groups/populations.
Preferred Qualifications
PREFERRED QUALIFICATIONS:
1. PhD. in Data Science, Statistics, Biostatistics, Computer Science, Psychology, Biomedical Engineering, or a related quantitative field.
EEO Statement:
URI is unwavering in its commitment to equal opportunity, community, equity, and diversity. In furtherance of its mission to serve and support all learners as the state's public flagship university, URI continues to expand efforts to recruit and retain a broadly representative workforce as well as to regularly evaluate the effectiveness of those efforts. All employment decisions, including hiring, are made without regard to protected status. Qualified individuals with disabilities may request reasonable accommodation by contacting the URI benefits office at 401-874-2416. For TTY assistance, contact R.I. Relay Services at 711.
Environmental Conditions
ENVIRONMENTAL CONDITIONS:
This position is not substantially exposed to adverse environmental conditions.
Posting Date
04/20/2026
Closing Date
Special Instructions to Applicants
Please attach the following 2 (PDF) documents to your online Employment Application:
(#1) Cover letter.
(#2) Resume.
Note: References will be upon request by the search committee.
Quicklink for Posting
https://jobs.uri.edu/postings/16618