Summary
Establish business value creation applying Advanced Analytics and Data Engineering techniques on a variety of small, medium and big data. Identify and solve scientific, operational and technical challenges, lead and manage solutions from ideation to structural requirements, design, implementation, rollout of the solutions and maintenance.
About the Role
Major accountabilities:
- Your responsibilities will include, but are not limited to:
- Build and fine-tune algorithms that scale up from small-scale proof-of-concept to full production systems, applying SaaS, R, Python and other tools.
- Understand stakeholder and user requirements
- Structure problem domain and drive/define data, process, functional, and architectural requirements.
- Provide in-depth technical and business knowledge to ensure efficient design, programming and implementation
- Take accountability to ensure adherence with Security and Compliance policies and procedures
- Ensure maintenance of the proposed solutions
- Contribute and Lead GenAI/ other AI initiatives
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Key performance indicators:
- Contribute to Operational excellence
- Drive the development of digital solutions for ARD/TRD
- Identify innovative solutions
- Investigate use cases and communicate technical and/or business assessment
- Identify and access/collect data and computational resources
- Lead/implement/support the development and evaluation of algorithms and predictions
- Communicate clearly with stakeholders to converge on needs and expectations
- Relevant impact of deployed tools: user adoption, feedback, sponsorship, time savings
- Support ongoing advanced-analytics/digitalization TRD projects
- Integrate activities with the NVS data science ecosystem and gain visibility
Minimum Requirements:
• Advanced degree in computer science or relevant discipline (Ph.D.); Masters or Bachelors/equivalent with experience
• 3+ years Machine Learning and large data analysis.
• Hands-on experience with data mining, text mining, its concepts, techniques and implementation.
• Practical experience in data discovery with large and complex data assets from varied information sources.
• Experience in statistical/analytics tools such as R, Matlab/Octave, or Python & big data technologies for machine learning based problems.
• Proficiency using SQL.
• Knowledge about the Drug Development process, experience with business functions in the areas of pharmaceutical formulation and process development.
• Exposure to GenAI related projects is an added advantage
• Project management, organization and planning skills.
• Demonstrated problem-solving and idea generation skills.
• Excellent communication and interpersonal skills. Ability to work in interdisciplinary teams.
• Excellent presentation skills.
• Knowledge of Security and Compliance policies and procedures
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Division
Development
Business Unit
Innovative Medicines
Location
India
Site
Hyderabad (Office)
Company / Legal Entity
IN10 (FCRS = IN010) Novartis Healthcare Private Limited
Functional Area
Data and Digital
Job Type
Full time
Employment Type
Regular
Shift Work
No