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About the Role
Major accountabilities:
- Project manages own tasks and work with team members; plans proactively, anticipates, and actively manages change,
- Supports teams to set stakeholder expectations as required, identify operational risks and provide insights leading to effective mitigations.
- Collaborate with internal stakeholders, external partners, and cross-functional teams to
solve critical business problems. - Research, develop and/or co-develop new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data.
- Quickly learn to use tools, data sources and analytical techniques needed to answer a wide range of critical business questions
- Assist in building and rolling out tools to enable scientific colleagues to effectively analyze large amounts of data using basic statistical tools with minimal oversight.
- Support the evaluation of novel software, visualization tools and new approaches to statistics and AI to increase efficiency and quality of the Novartis practices.
- Independently identify research articles and propose them for application to Novartis business problems.
- Interface between IT and business needs for lab digitalization.
- Articulate solutions/recommendations to business users.
- Present analytical content concisely and effectively
- Ability to provide understandable and actionable business intelligence for key stakeholders.
Minimum Requirements:
Education and Work Experience:
- Minimum: Advanced degree in statistics, data science, physical science, engineering, pharmaceutics or relevant discipline (PhD or equivalent) with a strong focus on DoE, combining experiments and simulations or data science techniques.Desirable: Ph.D. in scientific or relevant discipline or equivalent
- Experience in pharmaceuticals, food, chemicals, oil and gas or similar.
- Master’s with 8-10 years’ experience or PhDs with 4-6 years’ experience.
- Expert in statistical experimental design such as Design of Experiments, Bayesian optimization etc.
- Expert in multi-variate data analysis
- Interdisciplinary thinking and interest in collaboration with other functions.
- Successfully demonstrated track record of creativity and problem solving in projects.
- Strong presentation skills and scientific/technical writing skills.
- Good project management skills.
- Good communication skills, organizational, planning and negotiation skills.
- Coaching skills
- Curiosit
- Skills (Desirable but not mandatory)
- Knowledge of relevant GLP, GMP regulations and policies.
- Understanding of the development of pharmaceutical formulations including solid understanding of QbD principles
- Applied Mathematics.
- Statistical modelling
- Data Science.
- Data Visualization.
- Languages :
- English.
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
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
