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@emmaniebrzydoski
Clinical Research Associate with a strong background in neuroscience.
I am a dedicated Clinical Research Associate with a Bachelor of Science in Neuroscience from Michigan State University, where I graduated with a GPA of 3.96. My academic background is complemented by a minor in Computational Math, Science and Engineering, equipping me with a unique blend of skills in both scientific research and data analysis. I have a passion for advancing medical research and ensuring the highest standards of compliance and data integrity in clinical trials.
In my current role at Medpace, I monitor clinical trial sites for various studies, including IgA nephropathy and breast cancer, ensuring adherence to protocols and subject safety. My experience includes conducting site visits, reviewing source documents for accuracy, and collaborating with site coordinators to resolve discrepancies. I take pride in my ability to prepare comprehensive reports and deliver training to site staff, which enhances compliance and minimizes reportable events.
Previously, I worked as a Research Assistant in neuroengineering, where I utilized DeepLabCut for neural network training and analyzed movement data using Python. My research has been presented at symposiums, showcasing my commitment to contributing to the scientific community. I am eager to leverage my skills and experiences in a challenging role that allows me to make a meaningful impact in clinical research.
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Work history, roles, and key accomplishments
Medpace
Jul 2023 - May 2025 (1 year 10 months)
Monitored clinical trial sites for various studies, ensuring compliance with study protocols, subject safety, and data integrity. Conducted qualification, initiation, monitoring, and closeout visits for Phase II-III trials, supporting numerous investigator sites to ensure audit readiness and resolve discrepancies.
The Institute for Quantitative Health Science & Engineering
Apr 2022 - May 2023 (1 year 1 month)
Implemented neural network training using DeepLabCut to track body parts in video footage of mice and human infants, comparing brain responses during movement. Analyzed movement data using Python to identify errors and modeled tracked movement with neural activity to determine correlations.
Michigan State University College of Natural Sciences
Sep 2021 - May 2023 (1 year 8 months)
Collaborated on a research team to examine neural processes involved in visual perception and conscious seeing. Conducted live examinations using computer-based images and recorded pupil dilations to indicate cognitive events.
Degrees, certifications, and relevant coursework
Bachelor of Science, Neuroscience
Grade: 3.96 / 4.00
Activities and societies: Coursework included Computational Modeling & Data Analysis, Human Pharmacology, Computational Medicine, Genetics, Statistics for Scientists, Biochemistry, Cell & Molecular Biology, Organic Chemistry I/II, and Cells & Molecules.
Graduated with a Bachelor of Science in Neuroscience from the College of Natural Sciences. Minored in Computational Math, Science and Engineering (CMSE). Achieved a GPA of 3.96 / 4.00.
Software and tools used professionally
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