Natasha Uhl

• Develop and optimize AI-driven models for biological data analysis, enhancing precision in genomics, molecular biology, and drug discovery.

• Implement machine learning algorithms to process and interpret complex biological datasets, accelerating insights in biotechnology and life sciences.

• Collaborated with interdisciplinary teams, including bioinformaticians, software engineers, and data scientists, to integrate AI solutions, enhancing biological research workflows.

• Spearheaded automation of laboratory data processing, improving efficiency and reducing error rates in experimental and computational biology processes.

• Designed and refined deep learning architectures for biomarker discovery and predictive modeling, advancing genetics and bioinformatics research.

• Managed and analyzed clinical data, ensuring accuracy and regulatory compliance to uphold data integrity
• Maintained consistency and accuracy of databases across multiple platforms to support data reliability
• Developed data coding systems, enhancing workflow efficiency by 20%
• Monitored clinical trial protocol adherence, enhancing query generation efficiency
• Integrated new data processes and procedures into existing information management infrastructure

• Partnered with Principal Investigators to develop study plans and analyzed trial data
• Conducted drug efficacy studies, yielding insights that enhanced trial outcomes
• Ensured strict adherence to FDA and research protocols, protecting data integrity
• Maintained detailed records of experiment results, ensuring data accuracy for future analyses
• Developed procedures to streamline research processes, increasing overall efficiency

• Processed and managed clinical samples to ensure accuracy and reliability in results
• Ensured compliance with laboratory regulations from government agencies and accrediting bodies to uphold safety and quality standards
• Assisted in developing oncology project frameworks and sample processing to support research initiatives