Your support and partnership will help make D3D a lively and successful conference! By helping to keep our Attendee fees low, your sponsorship will help use reach across the many silos of biomedical research and technology to bring together professionals and thought leaders who are making great medical progress.
*Early Bird rates run until July 8, 2015
Gold Sponsor $3,500* ($4,500 after Early Bird)
- 2 Attendees
- Exhibit Tabletop
- Speaking Position**
- Branding in All Materials
Silver Sponsor $795* ($995)
- 1 Attendee
- Exhibit Tabletop
- Special Recognition
Additional Staff for Sponsors $195
Thank you to our Partners and Sponsors:
The New Jersey Tech Council (NJTC) provides business support, networking opportunities, education, advocacy, and recognition of tech and life science companies and their leaders. Founded in 1996, the Council’s member companies work together to support their own enterprises while advancing the state and region’s status as a leading technology hub worldwide.
The Council offers its member companies access to networking and educational programs, financing resources, expertise and more. A private, not-for-profit membership organization, the Council supports tech, innovation, and entrepreneurial ecosystems across the state and region.
This collaboration between the New Jersey Technology Council and the BioPharma Research Council brings together researchers, drug development professionals, and device inventors to address the generation, collection, analysis, storage, and sharing of data throughout the discovery to development process.
What Topics will be Addressed?
How is generated data acquired from instrumentation, images, point of care technologies, and other inputs? What are the fine points specific to drug discovery and development, and how is this relevant to diagnostics?
What processes assure significant knowledge development once data is collected? What challenges are key to the biopharma enterprise in academic and industry environments?
Collaboration across functional groups and entities is always challenging. Which models are proving successful? How are they evolving in response to new opportunities?
Where is smart data interaction making a difference? In publishing peer reviewed journals, in FDA filings, in management of biological samples?
Submit an Abstract! This is a great opportunity for sharing your perspectives, lessons learned, and your solutions.