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.
No projects match that filter.
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.
As a 501(c)(3) non-profit, we rely on community support to keep this work free — please consider making a tax-deductible donation or reaching out at fundraising@cabsweb.org to help fund the next generation of data scientists.
The Chinese American Biopharmaceutical Society is a registered 501(c)(3) non-profit organization. Its volunteer-run Data Science Committee and Internship Program mentor students and early-career scientists — the younger generation of biopharma — entirely free of charge.
We receive no tuition and charge no fees, yet training interns on real-world projects carries real costs: AI/LLM API tokens, professional software licenses, and cloud compute. Your tax-deductible donation goes directly to covering these tools so every student can learn with the same industry-grade stack used in professional biopharma teams.
The single biggest cost — credits that power every intern's agent, RAG, and analysis work.
The everyday tools that let a distributed cohort plan, communicate, and document like a real team.
The infrastructure interns need to train models, run pipelines, and ship open-source code.
Every gift is tax-deductible. Questions about giving or sponsorship? fundraising@cabsweb.org