Principal / Senior Principal Biostatistician, Advanced Methodology & Data Science

Band

Level 4

 

Job Description Summary

Onsite
#LI-Onsite
East Hanover, NJ

About the Role:
Within the Quantitative Sciences Drug Development function, the Advanced Methodology and Data Science pillar plays a crucial role in enhancing analytical capabilities to support drug development and regulatory decision-making. This Principal / Senior Principal position focuses on optimizing approaches for data-driven decision-making, utilizing clinical study data along with other internal and external data sources.

 

Job Description

Your Key Responsibilities:

• Advanced Modeling & Simulation: Develop and apply sophisticated models to optimize study design, analyze complex datasets, and enhance predictive capabilities.

• Innovative Analytical Methods: Explore and implement novel statistical techniques such as Bayesian modeling, statistical learning, machine learning, and causal inference.

• Rapid-Response Analyses: Conduct flexible, rapid-response analyses to address emerging scientific and regulatory questions.

• Cross-Functional Collaboration: Work closely with Biostatistics, Pharmacometrics, Statistical Programming, and drug development teams to enhance study design, data interpretation, and evidence generation strategies.

• Problem Identification and Solution Development: Identify recurring problems and use a combination of reproducible research techniques and tool development to provide scalable, reusable solutions.

• Quantitative Science Education: Contribute to internal education and awareness efforts in quantitative science.

• External Collaboration: Collaborate with regulatory, academic, and industry partners to advance drug development science through innovative quantitative approaches.

• Scientific Dissemination: Publish in peer-reviewed journals, organize sessions at professional conferences, and contribute to cross-industry workstreams and external scientific working groups.

Video Link  Meet the Data Analytics team 
 

This position will be located at the East Hanover, NJ site and will not have the ability to be located remotely.

Role Requirements:
Essential Requirements:

• PhD in statistics, biostatistics, data science or another related field with 3+ years’ experience preferred

• Knowledge in relevant quantitative approaches

• Fluent English (oral and written)

• Strong communication and presentation skills

Novartis Compensation and Benefit Summary:
The salary for this position is expected to range between $119,700 and $222,300 per year.  The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining

Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.  To learn more about the culture, rewards and benefits we offer our people click here.

Why Novartis:
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive:

You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.

https://www.novartis.com/careers/benefits-rewards

Accessibility and Reasonable Accommodations: The Novartis Group of Companies are committed to working with an