In addition, the Research Associate will oversee lab-based physiology experiments and lead the analysis and publication of the resulting data from field and laboratory efforts. This position may require labwork and fieldwork in Florida.
Essential Functions & Duties
- Configure and deploy ImagingFlow Cytobot (IFCB) sensors for in situ and lab-based surveillance of Karenia brevis and other phytoplankton taxa
- IFCB analysis of phytoplankton samples for Harmful Algal Blooms (HABs) with a focus on Karenia brevis and other dominant phytoplankton species, using machine-learning for automated image classification
- Participate in multi-day field and laboratory experiments, including pre- and post-monitoring and data synthesis
- Genetic analysis of Karenia brevis in field and lab samples via quantitative polymerase chain reaction (qPCR) with a focus on taxonomic and programmed cell death markers
- Work well independently and in an interdisciplinary group
- Writing peer-reviewed publications and presenting research results at national and international scientific meetings
Required Experience & Education
- PhD in Biology, Ecology, or a related discipline
- Prior postdoctoral or professional experience in HAB science.
- Prior laboratory and field experience related to monitoring and management of Karenia brevis blooms in Florida.
- Prior laboratory experience in assessing growth and physiology of cultivated HAB species, including taxa within the Kareniaceae.
- Prior experience with configuration and deployment of ImagingFlow Cytobot (IFCB) sensors for monitoring K. brevis and other phytoplankton in Florida
- Demonstrated experience in utilizing genetic markers to assess HAB population structure and physiological status, including laboratory and data analysis, and the publication of these data.
- Prior first author publications on HAB science or management with a focus on K. brevis.
Preferred Experience & Education
- Previous successful experience working with interdisciplinary groups
- Excellent science writing and communication skills
- Experience with multivariate statistics and experimental design.
- Knowledge of dinoflagellate physiology, life cycle, and taxonomy.
