Data Sciences Lead

Role Overview: As a Data Sciences Lead at Syngene, you will be responsible for leading the data sciences team and applying cutting-edge data analytics and AI/ML methods to drive data-driven R&D. Your role will involve working closely with domain experts and clients to understand data and business challenges to implement scalable solutions. Additionally, you will lead and develop the data science team and contribute to writing research papers and reports. Key Responsibilities: - Apply analytics and predictive modeling, primarily focusing on chemical and biological data. - Implement AI workflows to enhance decision-making and create digital twins of R&D processes. - Develop data modeling strategies and workflows. - Stay updated with new methods in deep learning and artificial intelligence. - Collaborate with domain experts and clients to implement robust solutions. - Lead and mentor the data science team. - Contribute to writing research papers and reports. Qualification Required: - MS/MTech/PhD in Mathematics, Computer Science, Statistics, or Physics with relevant experience. Additional Company Details: Syngene International Ltd., established in 1993, is a global discovery, development, and manufacturing organization offering integrated scientific services to various industries worldwide. With a team of 4240 scientists, Syngene collaborates with leading companies such as Bristol-Myers Squibb, GSK, and Amgen to drive innovation and solve scientific problems effectively.,