The 2023 SAPA Annual Meeting and 30th Anniversary Celebration will take place from September 29th (Friday) to 30th (Saturday) at the Hyatt Regency New Brunswick hotel in New Jersey. AlphaLife Sciences is honored to sponsor this annual event. The theme of this year's meeting is "TOWARDS A SHARED VISION: ADVANCING PHARMACEUTICALS THROUGH COLLABORATION AND INNOVATION."
This conference marks the first One-SAPA Annual Meeting, a collaborative effort between SAPA Headquarters and regional chapters, making it a large-scale event with a gathering of distinguished speakers from academia, industry, and regulatory agencies. It provides excellent opportunities for business collaboration, academic exchange, and networking.
Key highlights of the conference include the celebration of SAPA's 30th anniversary, the inaugural SAPA-Pharma Executive Leadership Summit, four pre-conference short courses, and representatives from the New Jersey government explaining government incentives and resources in the life sciences field. We look forward to your participation!
Date: September 29th to 30th, 2023 (Friday to Saturday)
Location: Hyatt Regency New Brunswick Hotel, New Jersey
During the SAPA Annual Meeting, Ms. Sharon Chen, CEO of AlphaLife Sciences, and Ms. Alice Hsu, Senior Vice President of Clinical Technology Services and Consulting of AlphaLife Sciences, will be conducting a thematic sharing session during the Lunch and Learn session on September 30th from 12:00 to 12:45. We welcome you to join us and engage in discussions on the following topic:
Topic: Empower AGI automation to enhance both efficiency and quality in clinical trials
Date and Time: September 30th, 12:00-12:45
More exciting information about AlphaLife Sciences awaits you at the 2023 SAPA Annual Meeting!
The Sino-American Pharmaceutical Professionals Association (SAPA), established in 1993, is headquartered in the pharmaceutical hub of the Eastern United States, New Jersey. SAPA has experienced rapid growth since its inception and currently has seven chapters and over 6,000 members in the United States and China. It is one of the most active national Chinese professional associations in the United States. SAPA's members primarily come from large and mid-sized pharmaceutical and biotechnology companies in the United States. Members' professional expertise covers every aspect of research and production in the pharmaceutical industry.
With such a large membership base and support from highly skilled professionals, SAPA has been facilitating in-depth exchanges in the pharmaceutical industry, including traditional pharmaceuticals, biopharmaceuticals, and generics. As a non-profit organization registered in the United States, SAPA has received generous sponsorship and support from U.S. and multinational companies over the years. SAPA continues to provide a broad platform for the pharmaceutical industry, offering opportunities for scientific discussions, career development, knowledge training, business collaboration, and entrepreneurial investment.
1. Engage in AI research and development in the field of clinical and biomedical informatics, including data collection, algorithm research, and model building.
2. Explore innovative applications of AI and be responsible for the application development of NLP technology in specific business scenarios.
3. Build machine learning platforms and frameworks, including algorithm implementation and system development.
4. Keep up with the latest developments in cutting-edge technologies in the industry and integrate them into the existing technical system to continuously enhance the platform's capabilities and meet business needs.
5. Provide insights and take the lead in implementing AI initiatives based on practical application products and scenarios within the company.
1. Bachelor's degree or above in computer science or a related field, with at least five years of experience in AI research and development. In-depth research in natural language processing or computer vision, solid theoretical foundation, good mathematical and statistical knowledge, and programming skills are required.
2. Practical experience in implementing AI applications, preferably with experience in building from scratch and continuous optimization.
3. Familiarity with cutting-edge research in natural language processing, extensive research experience, and preferred experience in training and applying large-scale language models.
4. Proficiency in various machine learning and deep learning algorithms and their application scenarios.
5. Familiarity with at least one machine learning framework such as TensorFlow, PyTorch, scikit-learn, etc.
6. Strong innovation spirit and scientific research capabilities, good information search, literature reading, and algorithm implementation skills.
7. Strong documentation skills and the ability to communicate effectively with technical teams and management.Apply Now