Dec 2022 - Present
• Developed and optimized automated RNAseq and WES analysis pipelines using Python and R, achieving a 40% reduction in data processing time and enhancing the efficiency of research and clinical insights.
• Implemented automated pipelines for disease risk analysis using SNP data, driving a 50% reduction in analysis time and enabling faster identification of high-risk individuals within the population.
• Designed a highly efficient sanger sequencing analysis pipeline to accurately detect and analyze specific position mutations, resulting in a 45% reduction in analysis time and empowering faster genetic research breakthroughs.
• Mentored and guided two interns, providing hands-on training in project management skills and research methodologies, equipping them with valuable industry insights and best practices, resulting in a 30% increase in their ability to tackle complex challenges.
• Streamlined service workflow for all products by applying ERP system, collaborated with backend and frontend developer, resulting in a 40% reduction in response time and a 30% increase in case tracking efficiency.
• Collaborated with cross-functional teams to design, deliver and customize comprehensive data visualizations and reports, enabling stakeholders to easily interpret complex data sets and make informed decisions, leading to a 70% increase in repurchase rate.
• Assisted in IPO preparation and participated in drafting internal control system documents.