Lindsay Sager

• Designed and executed EPA-compliant scientific methods for environmental monitoring, managed project workflow, and delegated team responsibilities to ensure successful data collection.
• Created Python scripts to analyze multiple assay data sets, and synthesized findings into comprehensive written and visual reports for EPA submission.
• Implemented a reverse-barcoded amplicon sequencing method for environmental metagenomic analysis in algal ponds, facilitating the identification and experimental isolation of potentially harmful microbial contaminants.
• Developed a multiplex barcoding strategy for amplicon sequencing that enables strain differentiation and target screening using MiSeq; additionally contributed to bioinformatics pipeline with a Python script for genomic target identification in fastq files.
• Contributed to LIMS integration through CoreLIMS training, workflow advisement, and beta testing of Riffyn Nexus, collaborating with development teams to ensure a seamless transition to upgraded systems.
• Leading a project to develop and validate a comprehensive profile for assessing scale-up culture health for a key assay within the strain assessment pipeline; structuring and training a small team to implement best-practice SOPs for sample collection and automated data ingestion.
• Utilization of Tableau to compile, visualize, and communicate data-driven insights regarding culture health and current SOP performance
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• Conducted cell culturing experiments to assess the viability of dinoflagellates in varying salinity conditions with artificial and filtered seawater; analyzed growth rates through cell count to determine impacts on culture health.
• Investigated the long-term effects of seawater and ultraviolet light exposure on polyurethane degradation, contributing to the understanding of material resilience in marine environments.

Engaged clients with informative presentations on marine sciences while managing safety protocols and troubleshooting high-stress situations in open water.