Novartis Pharmaceutical Science Job – Drug Product Process Development
Novartis is seeking a highly motivated and talented Data Scientists who will bring their scientific curiosity, coding skills, and practical, data-driven problem-solving mindset to develop Data Science solutions in the area of pharmaceutical development of new chemical entities. Pharmaceutical science job opening 2022, Check out all the details on the same below:
Job Title: Data Scientist (Drug Product Process Development)
Job Id: 338649BR
Elibgility Criteria:
• Msc in pharmaceutical sciences, process engineering, chemical engineering, mechanical engineering, physics, applied mathematics, statistics, computer science, data science or similar
• 2-5 years’ experience in academia or industry
• Expertise in Data Science tools and methods (ML, statistics, visualization, data wrangling)
• Excellent programming skills (Python and R)
• Experience in web app development with Python, including knowledge/use about Dash, Streamlit or similar user interface libraries
• Experience with Data Base Management Systems (SQL scripting required)
• Demonstrated ability to develop & deploy applications for end-users, including production deployment
• Competency working in a Linux/Unix environment
• Experience with cloud computing, e.g. Azure or AWS
• Good understanding of IT infrastructure and software lifecycle management
• Excellent communication skills (English) and data visualization skills
Good to have:
• Experience in the design of experiments (DoE) and their analysis. Familiarity with the statistical aspects of formulation development
• Experience with full-stack development
• Experience with MLOps process
• Experience/understanding of active learning, optimal experimental design, Bayesian statistics, and modeling
• Experience/understanding of pharmaceutical-related processes
• Experience with deep learning
• Competency working in a Linux/Unix environment
Your Key Responsibilities:
Your responsibilities include, but not limited to:
•Develop user-friendly web apps and dashboards for data visualization and analysis
•Documentation, validation, and user testing of applications
•Application maintenance
•Develop data Science solutions through their lifecycle, from ideation to deployment
•Use data and ML methods to solve problems
•Data cleaning and data wrangling
•Set up databases and data pipelines
•Clear communication of work
•Support the development and transfer of oral drug products by evaluation of material, formulation and process parameters by means of applied statistics
•Utilize DoE concepts and QbD principles to achieve robust formulations and processes
The successful candidate will join a dynamic team and collaborate with other experts across different functions.
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