Novartis has one of the most exciting product pipelines in the industry today. A pipeline of innovative medicines brought to life by diverse, talented and performance driven people. All of which makes them one of the most rewarding employers in their field.
Post : Data Scientist (Drug Product Process Development)
Job Description
• Develop user-friendly web apps and dashboards for data visualization and analysis and Documentation, validation and user testing of applications.
• Application maintenance and 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
Candidate Profile
• Masters 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) and 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) and 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 with excellent communication skills (English) and data visualization skills.
Additional Information
Experience : 2-5 years
Qualification : M.Pharm, M.E, M.Sc
Location : Hyderabad, AP
Industry Type : Pharma/ Healthcare/ Clinical research
Functional Area : Data Science
End Date : 30th May, 2022
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