Jason W.
AI Biology Content Evaluator (Contract)
Experience
Feb 2023 - May 2024
1 year 4 monthsAI Biology Content Evaluator (Contract)
SciTrain Technologies
- Annotated, reviewed, and scored over 1,200 biology-related model outputs from GPT-style LLMs for scientific accuracy and alignment with undergraduate to PhD-level curriculum.
- Provided expert feedback on molecular biology, immunology, and genetics queries used in AI training prompts.
- Collaborated with ML engineers to identify common error types in model hallucination and biologically incorrect generalizations.
- Assisted in evolving content-specific rubrics for response evaluation and generation.
Sep 2020 - Jan 2023
2 years 5 monthsSan Jose, United States
Senior Curriculum Designer & Life Sciences Analyst
NeoLogic Learning Systems
- Designed AI-adaptable biology teaching modules for e-learning platforms integrating natural language understanding.
- Developed taxonomies for high school, pre-med, and graduate-level life sciences topics based on NGSS and AAMC frameworks.
- Worked cross-functionally to structure datasets for multi-modal AI applications in educational diagnostics.
- Refined glossary data into context-aware definitions used in generative LLM fine-tuning.
Aug 2017 - May 2020
2 years 10 monthsSacramento, United States
Lecturer In Biological Sciences (Adjunct)
California State University, Sacramento
- Taught undergraduate courses in General Biology, Molecular Biology, and Cell Physiology.
- Developed evaluation criteria for open-ended assessments; collaborated in trialing AI-assisted grading prototypes.
- Mentored 1 students in research methodology with an emphasis on bioinformatics.
- Contributed to departmental committee on digital courseware modernization with LLM applications.
Mar 2015 - Aug 2024
9 years 6 monthsScientific Writing and Editing Consultant (Freelance)
BioVeritas Labs & Various Research Institutes
- Edited and reviewed peer-reviewed submissions for molecular biology, virology, and biomedical journals.
- Provided AI-focused organizations with rewritten prompts and metadata alignment to enhance readability and accuracy in generated scientific content.
- Helped develop a corpus of properly annotated biomedical literature for LLM benchmarking and evaluation purposes.
May 2013 - Feb 2015
1 year 10 monthsPalo Alto, United States
Biological Data Analyst
GeneSys AI Corp
- Led biological data normalization and annotation for training a recommendation engine used by biotech researchers.
- Used Python and R to preprocess genomics datasets and align them to biological ontology standards.
- Co-designed internal labeling tools for protein interaction visualizations and chromosomal mapping.
Summary
Accomplished PhD-level biologist with over 10 years of multidisciplinary experience in life sciences, specializing in molecular biology, genetics, and AI-based scientific analysis.
Adept in scientific writing, instructional design, data annotation, and ontology development for machine learning applications.
Proven expertise in evaluating and refining AI-generated biological content and metadata to ensure conceptual clarity, terminological accuracy, and compliance with research standards.
Combines a strong academic foundation with practical, industry-level contributions to AI/ML models that improve scientific reasoning, logic, and information retrieval.
Languages
English
NativeEducation
Oct 2003 - Jun 2007
University of California, Irvine
Bachelor of Science · Biological Sciences · Irvine, United States
Certifications & licenses
AI Data Annotation For Life Sciences
Coursera – Stanford AI
Introduction To NLP For Biomedical Text
Fast.ai
Science Writing For AI Systems
MIT OpenCourseWare
Python For Data Science
edX (Berkeley)
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