Natalie G.

Freelance AI Model Evaluator – Biology & Life Sciences

Grand Prairie, United States

Experience

Jan 2023 - Present
3 years
United States

Freelance AI Model Evaluator – Biology & Life Sciences

Freelance AI Model Evaluator – Biology & Life Sciences

  • Evaluate AI models on large-scale biological datasets, assessing performance, output reliability, and alignment with industry/scientific standards
  • Analyze and troubleshoot AI-driven solutions in genetics, ecology, and biostatistics; provide optimization recommendations for development teams
  • Lead documentation and quality assurance for model validation processes, integrating advanced statistical techniques
Jan 2020 - Dec 2023
4 years
Dallas, United States

R&D Analyst – Computational Biology & Data Science

R&D Analyst – Computational Biology & Data Science

  • Supported the design, training, and evaluation of machine learning models for genomics and clinical decision-making
  • Led interdisciplinary teams to solve technical challenges using mathematics and modern software tools
  • Authored scientific manuscripts, delivered technical reports, and presented at conferences

Summary

Highly accomplished Science and Technology Expert with a Master’s in Biology and currently pursuing a PhD in Computational Biology. Brings an exceptional blend of expertise in biology, mathematics, artificial intelligence, and computer science to advanced research, model validation, and quality assurance projects. Deeply skilled in evaluating and optimizing AI models for research, healthcare, and engineering contexts, with proven leadership in remote, cross-disciplinary teams. Passionate about driving innovation at the intersection of science and technology.

  • Advanced biology, molecular science, and computational modeling
  • Rigorous knowledge of AI, machine learning, and neural networks
  • Applied mathematics, statistics, and data analysis in life sciences
  • Computer science, bioinformatics, and scientific programming
  • AI model evaluation, output validation, and performance benchmarking
  • Quality assurance in scientific and engineering R&D
  • Python, R, MATLAB, SQL for biological data and model pipelines
  • Scientific and technical writing, peer-reviewed publications
  • Agile project management and interdisciplinary teamwork
  • Exceptional problem-solving and analytical reasoning
  • Strong communicator—able to document findings and provide creative, actionable feedback

Languages

English
Native
Spanish
Advanced

Education

University of Texas at Arlington

Master of Science · Biology · Arlington, United States

University of Texas at Arlington

Bachelor of Science, Minor: Mathematics & Computer Science · Biology · Arlington, United States

University of Texas at Arlington

Computational Biology · Arlington, United States

Certifications & licenses

Advanced Data Analytics Certification

Professional Certificate In Machine Learning & AI

Coursera/edX

Quality Assurance For Research Computing

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