The 2023 AI in Pharma Annual Conference will be held from Wednesday, October 4th, to Thursday, October 5th, 2023, in Boston. AI in Pharma is dedicated to providing a global platform for the exchange of ideas and collaboration to drive innovation in science and medicine. This two-day conference will explore specific applications and key challenges of artificial intelligence in drug discovery and clinical trials.
The key themes of this year's conference include topics such as AI-enabled clinical trial endpoints, using AI to predict clinical trial progression and outcomes, and addressing ongoing data obstacles. AlphaLife Sciences is honored to be a knowledge partner for this conference and will be presenting on relevant topics. We look forward to your participation!
Date: October 4th to 5th, 2023 (Wednesday to Thursday)
Location: The Bostonian Boston, Boston, USA
Topic: AGI-empowered Clinical Trial Management
A close-loop end-to-end clinical development platform that fully enables the best use of AGI.
AGI's application on clinical development data and documents to enable trial automation.
AI-powered clinical logic engine contributing to the ecosystem of intelligent clinical trials.
Date and Time: October 5th, 11:20 AM to 11:45 AM
More exciting information about AlphaLife Sciences awaits you at the 2023 AI in Pharma Annual Meeting!
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