2026 15th International Conference on Bioinformatics and Biomedical Science (ICBBS 2026) – Event Attendee & Buyer Profile Analysis
Event Date: October 16–18, 2026
Location: Sungkyunkwan University - Natural Sciences Campus, Suwon-si, Gyeonggi-Do, South Korea
Event Status: Upcoming
Research Date: June 29, 2026
| Event Name |
2026 15th International Conference on Bioinformatics and Biomedical Science (ICBBS 2026) |
| Event Date |
October 16–18, 2026 |
| Event Status |
Upcoming |
| Venue |
Sungkyunkwan University - Natural Sciences Campus |
| City |
Suwon-si |
| State / Region |
Gyeonggi-Do |
| Country |
South Korea |
| Organizer |
ICBBS / conference organizer team (official website contact listed at cbees.org) |
| Official Event Website |
www.icbbs.org |
| Event Type |
International academic and research conference |
| Primary Category |
Science & Research |
| Secondary Applicable Categories |
Medical & Pharma, IT & Technology |
| Audience Reach |
Global |
| Estimated Attendance / Expected Footfall |
Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability |
Low to Medium; official site confirms dates, venue, and scope, but does not publish an attendance count. |
| Main Purpose of Event |
To provide an international platform for researchers, engineers, academicians, and industrial professionals in bioinformatics and biomedical science to present findings, exchange ideas, and build research and business collaborations. |
ICBBS 2026 is an international conference focused on bioinformatics and biomedical science, with participation from researchers, academic institutions, and industrial professionals. The official website describes it as an annual forum for presenting research results and development activities, as well as for exchanging new ideas and forming global partnerships.
The event matters because it sits at the intersection of life sciences, health technology, computational research, and translational innovation. For suppliers, service providers, and solution vendors serving labs, universities, hospitals, biotech organizations, and digital health teams, the conference offers a targeted environment for awareness building, expert networking, and relationship-led business development.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment |
Typical Organizations |
Buying Role or Influence |
Relevance to Exhibitors / Suppliers |
| Academic researchers |
Universities, research institutes, teaching hospitals |
Influence on tool selection, methods, collaborations, and grant-funded purchases |
High for software, instruments, reagents, analytics, and research services |
| Bioinformatics teams |
Genomics labs, biotech firms, pharma R&D, universities |
Technical evaluators and workflow decision influencers |
Very high for data platforms, bioinformatics software, cloud, AI, and compute |
| Biomedical science leaders |
Medical schools, hospitals, research centers, life science companies |
Project sponsor, scientific buyer, or internal champion |
High for diagnostics, lab systems, imaging, and translational research solutions |
| Industrial R&D professionals |
Biotech, pharma, medtech, CROs, diagnostic firms |
Evaluation and procurement influence for platforms and services |
High for enterprise research software, assays, and outsourcing |
| Principal investigators / lab heads |
Universities, hospitals, institutes |
Budget holder or key approver for lab investments |
High for capital equipment, consumables, and specialized services |
| Data science / AI practitioners |
Research labs, startups, digital health, pharma analytics teams |
Solution evaluator and implementation influencer |
High for compute, MLOps, data management, and AI tooling |
| Healthcare innovators |
Hospitals, digital health startups, clinical research organizations |
Pilot sponsor or innovation buyer |
Moderate to high for digital tools, workflow optimization, and diagnostics |
| Government / funding bodies |
Public research agencies, ministries, science foundations |
Grant funding, policy influence, ecosystem partnerships |
Moderate for collaborative research, infrastructure, and national programs |
| Publishers / academic media |
Scientific publishers, conference media, journals |
Promotion and knowledge dissemination |
Useful for visibility, sponsorship, and thought leadership |
2. Event Location and Attendee Geographic Origin
| Geographic Area |
Likely Attendee Origin |
Buyer Concentration |
Notes |
| Host city: Suwon-si |
Local universities, nearby labs, regional industry |
Medium |
Suwon and greater Gyeonggi area provide a strong academic and industrial base. |
| Host state / region: Gyeonggi-Do |
Regional researchers, healthcare institutions, tech firms, life sciences organizations |
High |
Dense concentration of universities, hospitals, and tech-enabled businesses nearby. |
| Nearby business hub: Seoul Capital Area |
National headquarters, research institutes, hospital systems, biotech companies |
Very High |
Strong proximity to Seoul-based buyers and decision-makers. |
| National reach: South Korea |
Universities, hospitals, biotech firms, government research bodies |
High |
The event’s scientific scope supports nationwide professional attendance. |
| International reach |
Asia-Pacific, Europe, North America, global research community |
High |
Official site positions the conference as an international platform with global participation. |
3. Audience Reach
4. Sample Buyer Companies and Websites
| Buyer Company / Organization |
Buyer Type |
Why It Is Relevant |
Website |
Best Job Titles to Target |
Evidence Level |
| Seoul National University Hospital |
Hospital / research buyer |
Potential buyer for clinical research, data analytics, lab and biomedical tools |
snuh.org |
Director of Research, Lab Director, CIO, Procurement Manager |
Strong Market Fit, Attendance Not Confirmed |
| Samsung Medical Center |
Hospital / innovation buyer |
Large healthcare system with clinical research and digital health needs |
samsunghospital.com |
Director of Innovation, CMIO, IT Director, Procurement Director |
Strong Market Fit, Attendance Not Confirmed |
| Yonsei University |
University / research institution |
Life science and biomedical researchers are core conference attendees |
yonsei.ac.kr |
Professor, Principal Investigator, Research Director, Lab Manager |
Strong Market Fit, Attendance Not Confirmed |
| Seoul National University |
University / research institution |
High relevance across bioinformatics, genomics, and biomedical science |
snu.ac.kr |
Department Chair, PI, Research Administrator, Lab Head |
Strong Market Fit, Attendance Not Confirmed |
| KAIST |
Research university / technology buyer |
Strong AI, computing, and life sciences research relevance |
kaist.ac.kr |
Research Professor, CIO, Lab Director, Procurement Officer |
Strong Market Fit, Attendance Not Confirmed |
| LG Chem Life Sciences |
Biopharma / life sciences company |
Likely buyer for research, bioanalytics, and biomedical collaboration opportunities |
lgchem.com |
R&D Director, Head of Bioinformatics, Sourcing Manager |
Strong Market Fit, Attendance Not Confirmed |
| Celltrion |
Biopharma manufacturer |
Biomedical R&D, biologics, analytics, and regulatory science alignment |
celltrion.com |
Head of R&D, Director of Data Science, Procurement Lead |
Strong Market Fit, Attendance Not Confirmed |
| Samsung Biologics |
Biomanufacturing / life sciences services |
Relevant for biomedical science innovation, data, and process technology |
samsungbiologics.com |
VP R&D, Bioinformatics Director, Strategic Sourcing Manager |
Strong Market Fit, Attendance Not Confirmed |
| Amorepacific R&D Center |
Applied bioscience / R&D organization |
Potential for biotechnology, bioanalytics, and research collaboration |
amorepacific.com |
R&D Director, Research Scientist, Lab Procurement |
Strong Market Fit, Attendance Not Confirmed |
| Korea Institute of Science and Technology (KIST) |
Government research institute |
Public R&D decision-maker for science and technology initiatives |
kist.re.kr |
Program Manager, Research Director, Lab Head, Procurement Officer |
Strong Market Fit, Attendance Not Confirmed |
| Korea Disease Control and Prevention Agency |
Government / public health organization |
Potential public-sector user of bioinformatics, surveillance, and biomedical tools |
kdca.go.kr |
Program Director, Public Health Data Lead, Contracting Officer |
Strong Market Fit, Attendance Not Confirmed |
5. Job Profiles, Industries and Event Type
| Priority |
Job Title / Function |
Department |
Seniority Level |
Why This Role Matters |
| 1 | Principal Investigator | Research | Senior | Owns research direction and often influences tool and service selection. |
| 2 | Research Director | R&D | Director | Key sponsor for research investments and collaborations. |
| 3 | Bioinformatics Lead | Bioinformatics / Data Science | Manager to Director | Evaluates software, compute, analytics, and pipeline solutions. |
| 4 | Lab Director | Laboratory / Research | Director | Controls lab workflows, capital purchases, and vendor approvals. |
| 5 | CIO / IT Director | Information Technology | Director to C-level | Relevant for data infrastructure, security, integration, and cloud adoption. |
| 6 | Procurement Manager | Procurement / Sourcing | Manager | Handles purchasing and vendor onboarding for research organizations. |
| 7 | Clinical Research Director | Clinical Research | Director | Can drive purchase decisions for trial support, data and compliance tools. |
| 8 | Program Manager | Research Administration | Manager | Coordinates funded projects and supplier engagement. |
| 9 | Head of Data Science | Data / Analytics | Director to VP | Important for AI, ML, HPC, and data platform suppliers. |
| 10 | Innovation Manager | Innovation / Strategy | Manager to Director | Evaluates new technologies and partnership opportunities. |
| Priority |
Apollo Industry |
Why It Fits the Event |
Best Buyer Use Case |
| 1 | Research | Core academic and applied research audience | Research tools, grants, lab services, scientific software |
| 2 | Biotechnology | Primary commercial audience for biomedical science solutions | Bioinformatics, assays, diagnostics, and discovery platforms |
| 3 | Pharmaceuticals | Drug discovery and translational research overlap | Analytics, research services, compliance, data platforms |
| 4 | Hospital & Health Care | Clinical and biomedical research buyers | Clinical research solutions, data integration, diagnostics |
| 5 | Information Technology & Services | Supports computational biology, data and workflow platforms | Cloud, integration, cybersecurity, analytics |
| 6 | Computer Software | Bioinformatics software and data platforms | SaaS, analytics, workflow automation |
| 7 | Medical Devices | Biomedical innovation and translational applications | Testing, validation, clinical support technologies |
| 8 | Higher Education | Major attendee base for conference participation | Academic procurement, campus labs, research services |
| 9 | Government Administration | Public-sector science and funding stakeholders | Policy, grants, national research initiatives |
| 10 | Information Services | Data-heavy workflows and knowledge platforms | Scientific data, publications, metadata solutions |
| 11 | Computer Hardware | HPC and compute needs for bioinformatics | Servers, storage, workstations, GPU systems |
| 12 | Environmental Services | Adjacent life science and research support applications | Lab support, compliance, facilities services |
6. Estimated Attendance
7. Key Focus Areas and Buyer Engagement
| Focus Area |
Typical Buyer Need |
Buyer Engagement Opportunity |
Relevant Supplier Offering |
| Bioinformatics | Data analysis pipelines and interpretation tools | Demo workflow efficiency and research impact | Software, analytics, consulting, cloud |
| Biomedical science | Experimental tools and translational research support | Position as a research enabler | Instruments, assays, lab services |
| Genomics / omics | High-throughput analysis and storage | Capture research-driven procurement | Sequencing-related software, storage, compute |
| AI / machine learning | Pattern recognition, prediction, automation | Highlight faster discovery and model accuracy | AI platforms, MLOps, model governance |
| Cloud / HPC | Scalable compute for large datasets | Discuss scale, security, and cost control | Cloud infrastructure, GPU, storage |
| Clinical research | Trial support, data management, compliance | Target translational and hospital teams | CTMS, EDC, regulatory tech, services |
| Diagnostics | Test development and validation | Offer partnerships and validation support | Assays, instruments, QA/QC services |
| Research collaboration | Partnerships, grants, and cross-border networking | Use event for business development and alliances | Joint research, consulting, sponsorship |
| Factor |
Assessment |
Explanation |
| Buyer relevance | Very High | The event attracts scientific and technical buyers from bioinformatics, biomedical science, and adjacent life science sectors. |
| Decision-maker availability | High | Likely presence of PIs, directors, lab heads, and research leaders. |
| Data collection potential | Medium | Public attendee data is limited, so prospecting should rely on official speaker themes, institutional profiles, and prior-year evidence. |
| Apollo targeting potential | Very High | Strong alignment with research, biotech, pharma, healthcare, software, and higher education filters. |
| Geographic targeting potential | High | Excellent for South Korea, broader APAC, and international research targeting. |
| Best outreach approach | High-touch, research-led | Use scientific relevance, collaboration value, and workflow impact rather than aggressive sales language. |
| Overall lead quality | High | Strong niche conference for targeted outreach, especially for life science and research technology vendors. |
| Best use case | B2B attendee list building, sponsorship prospecting, partnership development | Most effective for account targeting and relationship-driven sales. |
| Limitations / risks | Moderate | Limited publicly available attendance and participant data; verify any contact list against current-year official sources. |
| Filter Type |
Recommended Filters |
Purpose |
| Apollo industries | Research; Biotechnology; Pharmaceuticals; Hospital & Health Care; Information Technology & Services; Computer Software; Higher Education; Government Administration | Capture scientific, clinical, and technical buyers. |
| Departments | Research, R&D, IT, Procurement, Operations, Innovation, Clinical Research | Focus on decision-making and influence functions. |
| Seniority | Manager, Director, VP, CXO, Professor, Principal Investigator | Prioritize budget holders and technical influencers. |
| Job titles | Principal Investigator, Research Director, Bioinformatics Lead, Lab Director, CIO, IT Director, Procurement Manager, Clinical Research Director, Head of Data Science | Directly maps to conference attendee profiles and likely purchasing roles. |
| Geography | South Korea; Seoul Capital Area; APAC; Global | Supports local plus international targeting. |
| Employee size | 51–200, 201–500, 501–1000, 1001–5000, 5000+ | Covers startups, mid-market life science firms, universities, and large institutions. |
| Keywords | bioinformatics, genomics, biomedical science, computational biology, translational research, laboratory, sequencing, AI, machine learning, clinical research | Improves relevance for scientific and technology-oriented accounts. |
| Company type | University, hospital, research institute, biotech, pharma, government research body, digital health company | Aligns with core attendee organizations. |
| Revenue range | If applicable, prioritize funded biotech and enterprise healthcare organizations | Useful for commercial vendor targeting. |
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