The George Institute for Global Health is at the forefront of medical research, with a significant presence worldwide, collaborating with top-tier universities and boasting a workforce of over 700 individuals across more than 40 countries. At the heart of its mission is Strategy 2025, an ambitious roadmap designed to leverage research and innovation to tackle health disparities on a global scale. The Institute focuses on three principal research domains: Better Treatments, Better Care, and Healthier Societies, aiming to address the most pressing health issues, including stroke, heart disease, and high blood pressure, and to harness the collective power of communities, governments, and markets to foster a healthier world.
A pivotal element of the Institute’s strategy is the integration of cutting-edge data science and artificial intelligence (AI) to enhance health outcomes worldwide. Recognizing the increasing demand for specialised expertise in this area, The George Institute has developed a comprehensive data science strategy and is expanding its data science team across India, Australia, and the UK.
The Role of the Senior Data Scientist
The Senior Data Scientist plays a crucial role in this strategy, tasked with leading the development and implementation of data science and AI solutions to meet the challenges of health research and organizational growth. This involves:
- Collaborating with stakeholders across various programs to identify opportunities for data science and AI applications in health research.
- Developing a deep understanding of specific research and business areas to define project requirements accurately.
- Designing and implementing end-to-end technical solutions in cooperation with technical teams, ensuring ethical and responsible AI usage.
- Managing data collection, preparation, and preprocessing for analysis and modeling, emphasizing data quality and integrity.
- Building, fine-tuning, and validating models using advanced machine learning techniques to ensure optimal performance and interpretability.
- Communicating findings effectively to stakeholders through comprehensive visualizations, reports, and presentations.
Key Responsibilities and Skills
The position demands a unique blend of skills and responsibilities, including:
- Master’s or higher academic qualification in Computer Science, Artificial Intelligence, Data Science, Statistics, or related fields.
- At least four years of demonstrated experience in a wide range of machine learning techniques, including deep learning, generative AI, and large language models (LLMs).
- Expertise in Python and familiarity with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Transformers).
- Strong problem-solving skills, attention to detail, and the ability to thrive in a fast-paced, collaborative environment.
- Excellent communication skills for effective cross-functional collaboration and for explaining complex technical concepts to non-technical stakeholders.
- Experience with MLOps and deploying machine learning models, coupled with practical experience in advanced natural language processing or computer vision.
Conclusion
The George Institute’s commitment to integrating data science and AI into its research endeavors is a testament to its forward-thinking approach to global health challenges. The Senior Data Scientist role is central to this mission, offering an opportunity to contribute significantly to improving health outcomes globally. By leveraging the power of data and AI, The George Institute continues to pave the way for a healthier, more equitable world.
How to apply
Interested candidates should send their resume with full contact details, current and expected CTC/salary and notice period details. Clearly mentioning the job title < Senior Data Scientist > in the subject line to HR (GIS) babita.lukhar@george-services.com
Deadline: 2024-04-06T18:30:00Z