Posting Details Position Information

Posting Number SF02060 Job Title Post-Doctoral Research Fellow (GSO) Position Number 107131 FTE 1.00 FLSA Exempt Position Type Professional Staff Union Non-Union Non-Classified Staff Pay Grade Level Grade Level: N/A Pay Grade Range Anticipated Hiring Salary Range: $56,880 - $62,858 Status Calendar Year, Full-time, Limited Department Information

Department GSO Research 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 Narragansett Bay Campus Grant Funded Yes Extension Contingency Notes Position is full-time, calendar year, limited to January 1, 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 October 3, 2025. Applications received after October 3, 2025 may be reviewed depending on search progress and needs but are not guaranteed full consideration.
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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.

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BASIC FUNCTION:

The successful candidate will work on an NSF funded project that utilizes a multi-omics approach to understand metabolic processing in marine phytoplankton blooms. Perform non-routine research work. Analyze and interpret data and generate publishable manuscripts under minimum supervision.

Duties and Responsibilities ESSENTIAL DUTIES AND RESPONSIBILITIES:

Analyze meta-transcriptome data generated from coastal diatom bloom.

Utilize high-performance computing to process raw transcript data, conduct functional and
taxonomic identification of contigs and perform statistical hypothesis testing.

Perform computer tasks related to scientific data processing, analysis, and interpretation,
including statistical analyses; preparation of manuscripts for publication; and archiving of
data and code.

Generate weekly data analysis reports to chart progress.

Participate in weekly lab meetings with all members of the lab and in one on one meetings with supervisor every 1-3 weeks.

Assist other members of the lab with statistical and graphical analysis questions as they arise.

Work closely with collaborators at other institutions, sharing data, analyses, and interpretation.

Participate in outreach activities.

Travel to group meetings, scientific conferences, and outreach activities.

OTHER DUTIES AND RESPONSIBILITIES:

Perform other duties as assigned.

Assist with proposal preparation.

Assist with field sampling.

LICENSES, TOOLS, AND EQUIPMENT:

Personal computers and printers; word processing, database management, spreadsheet software, other scientific analysis software (R, python, MatLab), laboratory equipment as specified.

Environmental conditions:

This position is not substantially exposed to adverse environmental conditions.

Required Qualifications REQUIRED:

1. PhD in Oceanography, Genome Sciences, Computer Sciences or related field.

2. Experience analyzing genomic, transcriptomic, proteomic or metabolomic data.

3. Experience with R.

4. Computer skills, including cloud computing.

5. Statistical skills associated with the analysis of large data sets.

6. Strong interpersonal and verbal communication skills.

7. Proficiency with written communication skills.

8. Ability to work with diverse groups/populations.

Preferred Qualifications PREFERRED:

1. Advanced coursework in microbiology and molecular biology.

2. Familiarity with high performance computing.

3. Experience with Python coding.

4. Experience with time series analysis.

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The University of Rhode Island is an equal-opportunity employer. It is the policy of the University of Rhode Island to provide reasonable accommodation when requested by a qualified applicant or employee with a disability.

Environmental Conditions This position is not substantially exposed to adverse environmental conditions. Posting Date 09/15/2025 Closing Date Special Instructions to Applicants Please attach the following 3 (PDF) documents to your online Employment Application:

(#1) Cover letter/statement of experience, career goals, research vision, and interests (maximum 4 pages) as one complete document.

(#2) CV.

(#3) Other Document – Published Papers (as one complete document)


Note: References will be upon request by the committee.

Quicklink for Posting https://jobs.uri.edu/postings/15644 Applicant Documents Required Documents Cover Letter/Letter of Application Curriculum Vitae Other Document Optional Documents Supplemental Questions

Required fields are indicated with an asterisk (*).

* Do you have a PhD in Oceanography, Genome Sciences, Computer Sciences or related field? Yes No * Do you have experience analyzing genomic, transcriptomic, proteomic or metabolomic data? Yes No * Do you have experience with R? Yes No * Do you have computer skills, including cloud computing? Yes No * Do you have statistical skills associated with the analysis of large data sets? Yes No * Do you have ability to work with diverse groups/populations? Yes No How did you hear about this employment opportunity? Public Job Posting Internal Job Posting Agency Referral Advertisement/Publication Personal Referral Website Other