Data Scientist Job in Hyderabad at Novartis

Novartis is hiring for the role of Data Scientist! 

Responsibilities of the Candidate:

• Hands-on role developing and implementing innovative AI methods (use of an AI model on a specific dataset for a specific purpose) under supervision as well as independently to deliver on highly visible projects 
• Advanced development skills in Python and the ability to understand and internalizing AI models from published papers and repositories 
• Train, test, and evaluate AI models on realistic internal and external data, and present results in an organized manner for team evaluation and input 
• Develop and deliver various biological and chemical insights and outcomes from applying AI models for broader communication 
• Stay up to date in the latest developments of evolving AI methods through self-learning and using on-the-job opportunities 
• Understand and manage run time requirements of AI models, visualizations, and cloud-based computation to increase efficiency and quality of AI approaches
• Develop new AI models from scratch using TensorFlow or PyTorch, understanding and modifying learning objectives and training methods of the models 

Requirements:

• Strong communication skills to explain technical details, decisions, consequences, and results to senior researchers and non-data science communities 
• Deep understanding of biological and chemical datasets, knowledge repositories in the areas such Gene Ontology 
• A humble and curious mind that can continuously learn while recognizing and applying internal resources to the overall vision and purpose of the team
• Bachelor’s degree (master’s or PhD is desirable) in a computational field including, but not limited to: AI, Computer Science, Applied Mathematics, Computational Biology/Chemistry, Engineering, Statistics, and Physics 
• 1 - 3 years of deep, hands-on experience working on AI projects and either clear evidence of significant projects personally developed and delivered and/or publication track record  
• 1 - 3 years of experience in working with large scale, realistic data sets and analyzing results towards specific business/scientific outcomes 
• Experience in pharma, biotech, or healthcare is a big plus but strong tech background with the willingness to adapt to pharma is equally acceptable