jgalaz
Biomedical/computational science candidate based in San Francisco, open to remote, hybrid, or in-person roles, with strong Python/ML/data analysis and scientific computing experience.
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Location: San Francisco, CA Remote: Yes (open to in-person, hybrid, and remote) Willing to relocate: SF Bay Area, San Diego, NYC, Tucson AZ, Honolulu, Miami Technologies: Python, NumPy, SciPy, scikit-learn, scikit-image, Pandas, PyTorch, Deep Learning, Machine Learning (ML), AI, Statistical Modeling, Data Visualization, Git, Linux, GenAI (OpenAI API, Claude, ChatGPT), R, SQL, ETL, Power BI. Keywords: Quantitative Data Analysis; Data Analytics; Data Pipelines; Automated Workflows; Simulation; Data Governance; Business Intelligence; Computational Methods Development; Scientific Research; Scientific Writing & Editing; Image Analysis; Project Management; People Management; Mentoring; Native bilingual (English & Spanish). Résumé/CV: https://drive.google.com/file/d/1J3NaxLl2ohd0GE9ylBplFuOGZTUlu7Mn/view?usp=drive_link LinkedIn: https://www.linkedin.com/in/jesusgalazmontoya/ Email: [[email protected]](mailto:[email protected]) Domain expertise: Biomedical research, Computational Biology, Structural Biology, Bioimaging, Scientific Computing
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