DS4CABS is the data-science initiative of the CABS — Chinese American Biopharmaceutical Society. We build and share open-source tools, AI agents, and learning resources for target discovery, clinical trials, regulatory affairs, and pharma analytics, powered by a global community of scientists, engineers, and interns.
Pinned by the community — the work most active right now.
The volunteers running operations, sponsorship, communications, and mentorship coordination for 2026.
Leadership team profiles coming soon.
Express interest →Industry and academic experts guiding the cohort 1:1 — weekly check-ins, technical support, and career advice.
Mentor profiles are being collected for Summer 2026.
Become a mentor →Students from leading universities shipping open-source work across discovery, trials, markets, and policy.
Intern profiles will appear here once the cohort is finalized.
Apply as mentee →A ~10-week immersive internship applying AI & data science to drug discovery and development. Interns work on real-world projects with structured weekly mentorship and present a final research poster featured on the CABS website. We welcome students, mentors, and program volunteers from across the Pacific Rim biopharma community.
Bachelor's, Master's, PhD students, and Postdocs worldwide — Bay Area preferred. Stanford, UCSF, UC Berkeley, MIT, and Pacific Rim universities especially encouraged.
Experienced professionals from academia, biotech, and pharma with expertise in AI, bioinformatics, or data science. Matched 1:1 with a student for the summer.
Volunteers shaping program operations — promotion, sponsorship, mentorship coordination, communications, and administration. Help build a meaningful program for the next generation of data-science leaders.
Questions? internship@cabsweb.org · Sponsorship: fundraising@cabsweb.org · Program lead: shicheng.guo@cabsweb.org
Filter and search across the entire DS4CABS catalog.
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Workshops and curricula for biologists, clinicians, and data scientists.
Build RAG pipelines, tool-calling agents, and local LLM deployments for biology.
Open materials →Practical AI workflows for pharma teams: writing, analysis, automation.
View series →Mentored open-source projects for students — clinical, computational, commercial. 2026 program now recruiting mentees, mentors, and leadership volunteers.
Apply / learn more →Reproducible R visualizations for clinical, biostatistical, and market data.
Browse gallery →DS4CABS is the data-science initiative of the Chinese American Biopharmaceutical Society — a non-profit professional community headquartered in the San Francisco Bay Area.
Our open-source work spans the full biopharma value chain: from target discovery and knockout analysis, to clinical trial intelligence and regulatory analytics, to market access and medical affairs. We publish code, datasets, and educational materials so that the next generation of biopharma scientists can move faster — together.