Open to opportunities

David Goelich

@davidgoelich

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PhD computational biologist specializing in genomics, AI-driven data annotation, and predictive biological modeling.

United States

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What I'm looking for

I seek senior roles applying genomics and AI-driven data annotation to build high-fidelity datasets and improve model accuracy, in autonomous, collaborative research teams.

I am a Biology PhD with 12+ years bridging genomics, systems biology, computational biology, and AI-driven life-science research. I specialize in curating complex biological datasets, designing experimental frameworks, and translating biological complexity into structured, high-quality inputs for advanced analytics and machine learning.

In senior roles I have led annotation and labeling for large-scale AI training datasets across text, transcriptomics, audio, and video, reduced annotation error rates by 35% through workflow redesign, and developed internal standards and training manuals. I have directed multi-omics research supporting drug discovery, produced curated datasets for predictive modeling, and mentored junior researchers while securing multi-million dollar grant funding.

I collaborate closely with ML engineers to refine schemas, evaluate model outputs for scientific accuracy, and design problem sets that stress-test AI reasoning. I bring autonomous, detail-oriented execution, clear technical communication, and a track record of publications and reproducible computational pipelines in Python, R, and MATLAB.

Experience

Work history, roles, and key accomplishments

Current

Senior Computational Biologist

Current

Biotech & AI Research Lab

Jan 2020 - Present (6 years)

Led biological annotation and structured labeling for large-scale AI training datasets, reducing annotation error rate by 35% and improving model performance through refined schemas and cross-functional collaboration.

Genomics Data Annotation Python R Workflow Automation Technical Writing

Principal Scientist – Genomics

Pharmaceutical Research Institute

Jan 2016 - Dec 2020 (4 years 11 months)

Directed multi-omics research supporting drug discovery, built predictive biological models, and produced curated high-fidelity datasets while mentoring teams and authoring technical reports.

Multi omics Statistical Modeling Python R Data Curation Team Leadership Experimental Design Publications

Research Scientist

National Biomedical Research Center

Jan 2012 - Dec 2016 (4 years 11 months)

Conducted large-scale sequencing and evolutionary modeling, created automated Python/R pipelines for data cleaning and annotation, and collaborated with engineers to integrate lab outputs into computational systems.

Automated Pipeline Engineering Python R Data Annotation Grant writing Collaboration

Graduate Research Fellow

University Research Laboratory

Jan 2008 - Dec 2012 (4 years 11 months)

Developed machine learning classifiers for gene regulatory networks, published first-author papers in genomics, and taught courses in molecular biology and biostatistics.

Machine Learning R Matlab Statistical Analysis Teaching Scientific Writing

Education

Degrees, certifications, and relevant coursework

University of California

Doctor of Philosophy, Systems Biology & Genomics

Activities and societies: Dissertation research, published first-author papers, presented at international conferences, taught courses.

Completed a Ph.D. in Systems Biology & Genomics with a dissertation on machine learning integration of multi-omics data for predictive disease modeling.