Postdoctoral Researcher Position: Multi-omics examination of phytoplankton blooms

Opportunity:
Postdoctoral Researcher Position:
Multi-omics examination of phytoplankton blooms

The Rynearson lab at the University of Rhode Island’s Graduate School of Oceanography invites applications to fill a Postdoctoral Researcher position focused on investigating phytoplankton bloom dynamics as part of a funded NSF grant that includes investigators from the University of Washington and Georgia Institute of Technology.

• Analyze metatranscriptome datasets from two years of existing field samples.
• Integrate metatranscriptome data with existing proteome and metabolome data.
• Apply time series statistics to this multi-omics dataset to examine different stages of a bloom life cycle.
• Disseminate results in peer-reviewed publications and presentations.
• Contribute to the functioning of the lab and assist with student mentoring; develop future research projects as encouraged.
• No teaching requirement or expectation to write research grants, though opportunities may be provided.

• Ph.D. by December 2025 in Oceanography, Biology, Computer Science or a related field.
• Demonstrable experience with bioinformatic and statistical analyses of high-throughput RNA-seq data; familiarity with cell biology.
• Strong communication skills in English (written and verbal) and quantitative analytical skills.

The position is for 12 months initially, commencing ASAP and renewable depending on funding availability and performance. The successful candidate will receive training in research collaboration, mentoring, and presentation and publication of results.

A full job listing is available at (Use the "Apply for this Job" box below). Applications must include: (1) a maximum 4-page statement of experience, career goals, research vision and interests; (2) curriculum vitae; (3) reprints of relevant publications; and (4) names and addresses of three referees willing to write confidential letters of recommendation. All materials should be submitted at  Candidates will be selected based on overall excellence, including academic qualifications, letters of recommendation, and prior skills, experience, and research goals compatible with the goals of the funded research.

The position is compensated through a competitive salary and excellent benefits package.

The position will be open until filled. For first consideration, applications must be received by close of business Oct 3, 2025.