Mark Maslanka is a skilled Laboratory Informatics Scientist with a strong foundation in proteomics and neuroscience. He has been with SynapticSci for one year, where he has contributed significantly to developing innovative laboratory informatics solutions. With expertise in Power Apps, Python, R, and additional programming languages, Mark specializes in designing and optimizing laboratory systems to improve data integrity and streamline workflows.

Mark's academic background includes a Bachelor of Science in Neuroscience and a forthcoming Master of Science in Proteomics, focusing on cancer and fibrotic diseases. His hands-on experience in proteomics research, assay development, and laboratory system development has positioned him as a valuable asset to SynapticSci. Notable projects include serving as the lead developer for the Veterinary Clinical Research Lab System for NIEHS and contributing as a developer for the Veterinary LIMS Implementation for UWVC.

Education

• Master of Science in Proteomics (Cancer & Fibrotic Diseases), CU Anschutz Graduate School, 2024
• Bachelor of Science in Neuroscience, Rider University, 2018

Relevant Certifications:

• Google Data Analytics Specialization, Coursera, November 2023
• Foundations of Data Structures and Algorithms Specialization, Coursera, August 2023

Project Experience

• Veterinary LIMS Implementation for UWVC: Software Developer
• Veterinary Clinical Research Lab System for NIEHS: Project Lead Developer

Technical Skills

• Power Apps
• Power Automate
• Python
• R
• Typescript (basic proficiency)
• C#
• JavaScript