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CABS-Data-Science-Summer-Internship-Program

The Chinese American Biopharmaceutical Society (CABS) is thrilled to announce a new CABS Data Science Summer Internship Program focused on the cutting-edge field of data science applied to drug discovery and development.

As our industry generates unprecedented amounts of data from genomics, proteomics, clinical trials and real-world evidence, there is a growing need for talented data scientists who can derive insights to drive innovation. CABS is committed to helping bridge this talent gap and train the next generation of data leaders in biopharma.

This 10-week non-paid in-person/remote internship program will provide an immersive experience for undergraduate and graduate students to work alongside data science teams at top CABS member companies in the San Francisco Bay Area. Interns will get hands-on experience applying the latest machine learning, AI and data analytics tools to solve real-world challenges across all phases of the drug development lifecycle.

Not only will interns gain technical data skills, but they will also learn about the biopharma business through workshops, networking events, and mentorship opportunities with CABS member company leaders, entrepreneurs and investors.

A primary focus will be nurturing a talented and diverse pipeline of data science professionals, including those from Asian American and Pacific Islander backgrounds. In addition to students from top universities across the country, such as the University of Chicago, MIT, Harvard, Princeton, Yale, Columbia, University of Michigan, University of Pennsylvania, Northwestern University, Duke University, University of Texas at Austin, Johns Hopkins University, University of Washington, Cornell University etc.

Internship Timeline:

  • Application Deadline: June 5th, 2024/2025/2026/2027/2028/2029/2030/2031/2032/2033/2034

  • Internship Dates: June 15 - August 25, 2024/2025/2026/2027/2028/2029/2030/2031/2032/2033/2034

This internship program represents an incredible professional development opportunity. We invite all eligible students passionate about life sciences and data to apply! We will use the following registration form for 2024-2034 registration:

Registration Page: https://forms.gle/vVT8hdSMzVMNcEre6

Major Focus Areas:

The internship program covers a broad range of focus areas to provide a comprehensive understanding of the biopharma industry. Interns can choose to work in one or more of the following areas based on their interests and career goals:

  1. Research and Development (R&D): DS4RnD
  2. Clinical Development: DS4ClinDev
  3. Regulatory Affairs: DS4RegAffairs
  4. Medical Affairs: DS4MedAffairs
  5. Commercial (Marketing and Sales): DS4Commercial
  6. Market Access: DS4MarketAccess
  7. Manufacturing and Operations: DS4MfgOps
  8. Quality Assurance and Control: DS4QAQC
  9. Supply Chain Management: DS4SupplyChain
  10. Finance and Accounting: DS4Finance
  11. Human Resources: DS4HR
  12. Legal and Compliance: DS4Legal
  13. Information Technology (IT): DS4IT
  14. Corporate Communications: DS4CorpComms
  15. Business Development: DS4BizDev
  16. Strategy and Business Analytics: DS4Strategy
  17. Environmental Health and Safety (EHS): DS4EHS
  18. Clinical Pharmacology: DS4ClinPharm
  19. Translational Medicine: DS4TransMed
  20. Project Management: DS4ProjMgmt
  21. Compliance and Ethics: DS4CompEthics
  22. Patient Advocacy: DS4PatientAdvocacy
  23. Corporate Social Responsibility (CSR): DS4CSR
  24. Health Economics and Outcomes Research (HEOR): DS4HEOR
  25. Risk Management: DS4RiskMgmt

Featured Intern Projects:

  • ConferenceAgent — AI-powered scientific intelligence system that transforms conference abstracts and public signals into structured, source-grounded, pre-conference strategic reports (ASCO, AACR, ESMO, ASH, AHA, AASLD).

Notes:

  1. The CABS data science summer internship is fully remote, with no on-site requirements.

  2. The CABS data science summer internship is an unpaid position, offering full flexibility for the program.

  3. Please do not apply for this position if you already have another full-time internship.

  4. Our motivation is to enhance students' skillsets and provide pre-job exposure, including interview preparation and project experience in the pharmaceutical industry.

  5. This is a part-time summer internship, not a full-time commitment. You are welcome to participate in multiple internships if you wish. However, please note that obtaining a recommendation letter for this internship will require a high level of engagement with the project.

  6. The intern project encourages the intern to define the project, with the CABS mentor team providing support to ensure the program deeply and exclusively benefits the intern. We encourage the intern to take on a leadership role by identifying key questions, proposing the project, and thinking critically about potential solutions.

  7. Compliance with DOL Guidelines: The CABS internship program will strictly adhere to the U.S. Department of Labor's six-factor test for unpaid internships, ensuring that the internship is educational and beneficial to the Intern without providing immediate advantage to CABS. This compliance guarantees that the internship is a legitimate learning experience and not considered employment.

  8. CPT and OPT Considerations: While unpaid internships at non-profits generally do not require Curricular Practical Training (CPT) or Optional Practical Training (OPT), it is advisable to consult with the Designated School Official (DSO) at the student's university to ensure compliance with all F-1 visa regulations from your university, department, and local regulations.


Explore & Contribute: ds4cabs Open-Source Projects

Beyond your own assigned project, you are encouraged to explore and contribute to any of the public repositories in the ds4cabs organization. Found a bug, a missing data wrapper, a documentation gap, or have an idea? Open an issue or a pull request — contributing across projects is a great way to learn new domains, collaborate with other interns, and build your portfolio.

Notes on this list: the 25 focus-area tracks (DS4*) are already listed under Major Focus Areas above. Forked/mirror repositories are omitted. This snapshot is current as of June 2026 — see the organization page for the always-up-to-date set.

🎓 CABS 2026 Intern Projects

  • BiopharmaClaw — AI-Powered Biopharma Intelligence Agent — monitors PubMed, ClinicalTrials.gov, OpenFDA, SEC filings, press releases & news, then uses LLMs + workflow automation to deliver source-grounded competitive intelligence reports and alerts.
  • CausalSentinel — CABS 2026 intern project - CausalSentinel (Shucheng, Natalie)
  • CompassAgent — CABS 2026 intern project - CompassAgent (Aaron Wu)
  • ConferenceAgent — AI-powered scientific intelligence system that turns conference abstracts and public signals into source-grounded pre-conference strategic reports (CABS 2026 intern project).
  • OncReferenceAgent — AI-Powered Oncology Conference Intelligence Agent - continuously monitors AACR/ASCO/ESMO/ASH, maps abstracts to oncology ontologies, scores novelty and impact, and auto-generates chapterized scientific intelligence reports (CABS 2026 intern project).
  • OpenLedger — CABS 2026 intern project - OpenLedger (Shawn Phan)
  • OpenLineage — A stem-cell differentiation copilot for computational biology teams — CABS 2026 intern project.
  • OpenMarket — CABS 2026 intern project - OpenMarket (Jason Zhou)
  • OpenPulse — CABS 2026 intern project - OpenPulse (Kening Li)
  • OpenRegEval — CABS 2026 intern project - OpenRegEval (Matías Pinto)
  • OpenRepurpose — CABS 2026 intern project - OpenRepurpose (Beyza, Chin Hung, Christina)
  • OpenTarget — CABS 2026 intern project - OpenTarget (Xiaoxue Li)
  • OpenTrial — CABS 2026 intern project - OpenTrial (Reuben Addison)

🤖 Enterprise AI Agents (by business function)

  • BDAgent — Business Development - asset scouting, licensing monitoring, company profiling, scientific diligence
  • ClinDevAgent — Clinical Development - protocol analysis, endpoint intelligence, enrollment prediction, AE monitoring
  • CMCAgent — Manufacturing & Supply Chain - batch analytics, process monitoring, supply forecasting, QA/QC workflows
  • CommercialAgent — Commercial Strategy - market analysis, competitor tracking, forecasting, launch strategy, pricing analytics
  • DataCraftAgent
  • FinOpsAgent — Finance & Operations - budgeting, forecasting, operational analytics, spend monitoring, procurement
  • HRAgent — Human Resources - recruiting, resume screening, onboarding, intern matching, training, talent analytics
  • HTSAgent — Hit Discovery - assay summarization, compound triage, screening prioritization, active learning, hit clustering
  • INDAgent — Preclinical Development - toxicology, animal study summarization, PK/PD, dose rationale, IND workflows
  • ITAgent — IT & Enterprise Automation - Slack/Teams/Jira/ServiceNow integration, ticket routing, workflow automation
  • LnDAgent — Education & Training - adaptive tutoring, onboarding copilots, biomedical AI curriculum, learning analytics
  • LOAgent — Lead Optimization - med-chem copilot for SAR, ADMET, property optimization, analog recommendation
  • MedAffAgent — Medical Affairs - publication intelligence, congress summarization, MSL copilots, scientific responses
  • MktAccessAgent — Market Access - HEOR evidence synthesis, formulary monitoring, reimbursement landscape, payer evidence
  • PMOAgent — PMO & Program Management - milestone tracking, risk management, dependency mapping, portfolio analytics
  • RAAgent — Regulatory Affairs - FDA/EMA guidance retrieval, dossier drafting, submission tracking, regulatory intelligence
  • StrategiXAgent
  • TargetFinderAgent
  • TargetScoutAgent
  • TransMedAgent — Translational Medicine - biomarkers, patient stratification, omics interpretation, responder prediction
  • TrialAgent
  • TrialAIAgent
  • TrialSageAgent
  • TValAgent — Target Validation - genetic evidence, causal inference, pathway validation, therapeutic rationale scoring

🧩 Core "Open" Platforms & Infrastructure

  • OpenAgentLab — Multi-Agent Research Lab - autonomous scientific reasoning, planning systems, agent memory, AI scientists
  • OpenBiomarker — Biomarkers & Omics - RNA-seq, GWAS, single-cell, spatial omics, pathway enrichment, biomarker discovery
  • OpenCore — Core Infrastructure - shared AI operating system (auth, gateway, orchestration, memory, vector DB, deploy, logging)
  • OpenEval — Evaluation & Observability - hallucination detection, retrieval accuracy, latency, benchmarks, audit logging
  • OpenKnowledge — Enterprise Knowledge - RAG, SOP copilots, meeting memory, scientific knowledge graphs, internal chat
  • OpenTID — Target Discovery - literature mining, GWAS, omics integration, target ranking, pathway intelligence
  • OpenVeritas — OpenVeritas Human Data Science Initiative — long-term translational AI program integrating OHDSI/OMOP, genomics, multimodal ML, and RWD.

📚 Knowledge, Tools & Other Projects

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