Laboratory Technician Data Management

**********@*****.*** https://github.com/ericMossotti www.linkedin.com/in/eric-mossotti ericmossotti.github.io/plog Eric Mossotti

St. Peters, MO

Professional Experience

Bayer Crop Science Laboratory Technician Dec 2022 - Present Chesterfield, MO

Managed international biochemical sample logistics and chain of custody documentation.

Led lab data management using LIMS (Velocity, RosaI, SAP), Excel, and GLP protocols.

Co-directed a lab transition project to optimize chemical dispensing/inventory workflows.

Facilitated communication between research teams and management. G-Biosciences Laboratory Technician Apr 2021 – Dec 2022 St. Louis, MO

Produced cGMP/GLP-compliant biological products (nucleic acids, assays) under FDA guidelines.

Conducted QC testing via UV spectroscopy, electrophoresis, and comprehensive documentation.

Calibrated instruments and validated protocols for reproducibility and compliance. Volunteering

Missouri Stream Team Volunteer Water Quality Monitor, Level 1 Mar 2025 – Present

Performed water quality testing and data collection of fresh water streams to identify potential ecosystem degradation .

Coordinated efforts with local volunteer teams, property owners, city and state level government staff. Projects

Problematic Internet Use (https://eric-mossotti.quarto.pub/problematichabits/) Dec 2024 - Mar 2025

Analyzed a Kaggle dataset to link nighttime internet use with elevated SII scores via SQL aggregations.

Built hybrid Python/R pipelines with DuckDB for optimized data handling.

Engineered SQL queries to aggregate behavioral indices (SII), light exposure metrics, and demographic data, identifying correlations between nighttime internet use and elevated SII scores. Cicada Data (https://eric-mossotti.quarto.pub/cicada_data/) Jul - Nov 2024

Processed 17-year cicada genomic data via ETL pipelines; reproduced DNA Zoo’s summary tables.

Automated workflows for genome assembly and created a Quarto documentation site. Bike-Sharing in the Streets of Chicago (https://ericmossotti.github.io/Bike_Share/) Jan - Jun 2024

Developed a data pipeline to analyze Divvy bike-share trends; identified member behaviors using logistic regression.

Delivered stakeholder insights via interactive Quarto reports and statistical testing. Education and Certifications

BS Chemistry University of Missouri–St. Louis Graduated: 2020 Minor: Computer Science Emphasis: Biochemistry

Coursera:

Algorithms for DNA Sequencing: Development of efficient algorithms with Python.

Google Data Analytics: Preparing, processing, analyzing, and sharing data for thoughtful action.

Microsoft Excel Specialization: Widely used in business, science, engineering, and data analysis.

R Programming: Widely used by scientists and analysts for statistics and analytical reporting. Tools & Skills: Microsoft Excel, Scripting, R, Python, SQL, Bash, SAP, GLP, cGMP, QC, dilution calculations, PCR, exploratory data analysis, instrument calibration, standard curves, logistic regression, chi-squared testing, bioinformatics libraries

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