Project manager/engineer oyster biosensor project

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Full job posting here https://usnh.wd5.myworkdayjobs.com/en-US/Careers/job/QMEL-Manager_JR10196

The White Lab and Jellison Lab at the University of New Hampshire (UNH) are seeking a motivated and skilled ResearchTechnician / Lab Manager to support a NOAA Saltonstall-Kennedy-funded project focused on developing and deploying a network of oyster biosensors to improve aquaculture yield and food safety in the Gulf of Maine. The position is a two-year, grant-funded role beginning in Fall 2026, working under the primary guidance of PI Dr. Easton White and co-PI Dr. Brittany Jellison.

This is an exciting opportunity to work at the intersection of marine ecology, aquaculture technology, and data science, contributing to cutting-edge research with direct real-world impact for oyster farmers and coastal managers in New England.

This is a full-time position with opportunities for professional growth, collaboration across multiple research projects, and contributions to cutting-edge ecological science.

Requirements

Minimum Acceptable Education & Experience:

    • Bachelor’s degree in marine science, biology, environmental science, engineering, or a closely related field (Master’s degree preferred). Experience with field and/or laboratory research in marine or aquatic systems. Strong organizational and project management skills, with the ability to coordinate multiple tasks and personnel simultaneously. Ability and willingness to conduct fieldwork in coastal marine environments, including work on boats and in variable weather conditions. Strong written and verbal communication skills.

Preferred Qualifications:

    • Experience with electronics, Arduino microcontrollers, or similar embedded systems. Familiarity with bivalve biology, aquaculture, or shellfish physiology. Experience with data analysis in R, Python, or similar programming environments. Experience with physiological assays (e.g., enzyme activity, condition index measurements). Experience mentoring undergraduate students or working in a team research environment. Familiarity with open-source data and code practices.