Senior Expert Data Science

Novartis; East Hanover (NJ); Hybrid; USD 139,000 - 257,000; Full time

Job summary

Novartis in East Hanover, New Jersey seeks a Senior Expert Data Science to turn complex data into actionable insights for cell and gene therapies. This hybrid role requires in-office presence about 12 days per month at the East Hanover site.

You will partner with development scientists, process engineers and teams to apply advanced analytics, build reusable data solutions and communicate evidence that supports CMC decision-making across R&D.

Qualifications

• Bachelor's degree with 7+ years, Master's with 5+ years, or Doctorate with 2+ years of relevant experience.
• Experience applying data science, statistics, ML or advanced analytics to complex scientific, engineering or manufacturing problems.
• Proficiency with either Python or R.
• Knowledge of regression, hypothesis testing, experimental design, multivariate analysis and predictive modelling.
• Ability to translate ambiguous scientific or business questions into structured, reproducible and well-documented analyses.
• Clear communication and effective collaboration with technical and non-technical stakeholders in a cross-functional environment.

Responsibilities

• Partner with scientific and cross-functional teams to frame critical manufacturing, assay and product-understanding questions.
• Apply statistical, machine learning and multivariate methods to complex bioprocess, analytical and experimental datasets.
• Deliver robust analyses supporting process characterisation, monitoring, comparability, investigations and control strategy development.
• Build pipelines that ingest, clean, transform and integrate data from multiple sources.
• Develop curated datasets, models and analytical products for repeatable analysis, visualisation and reporting.
• Create clear dashboards, reports and presentations for technical and non-technical audiences.
• Lead data science projects from problem definition through delivery, managing scope, milestones, risks and stakeholders.
• Guide colleagues on reproducible analytical practices while contributing to an inclusive, scientifically rigorous team culture.

Skills

Data science

Python

R

Statistics

Multivariate analysis

Education

Bachelor's degree

Master's degree

Doctorate

Tools

JMP/JSL

SAS

ELab data systems

Job description

Summary

Turn complex scientific data into insights that help advance the next generation of cell and gene therapies. As a Senior Expert Data Science within the Data and Statistical Sciences team, you will partner with development scientists, process engineers and cross-functional teams to strengthen process and assay understanding. You will apply advanced analytics, build reusable data solutions and communicate clear evidence that supports Chemistry, Manufacturing and Controls decision-making across technical research and development.

About The Role

Location: East Hanover, New Jersey, United States. This hybrid position will be located at the East Hanover, NJ site with the expectation of being in the office 12 days per month.

Key Responsibilities

• Partner with scientific and cross-functional teams to frame critical manufacturing, assay and product-understanding questions.
• Apply statistical, machine learning and multivariate methods to complex bioprocess, analytical and experimental datasets.
• Deliver robust analyses supporting process characterisation, monitoring, comparability, investigations and control strategy development.
• Build pipelines that ingest, clean, transform and integrate data from multiple sources.
• Develop curated datasets, models and analytical products for repeatable analysis, visualisation and reporting.
• Create clear dashboards, reports and presentations for technical and non-technical audiences.
• Lead data science projects from problem definition through delivery, managing scope, milestones, risks and stakeholders.
• Guide colleagues on reproducible analytical practices while contributing to an inclusive, scientifically rigorous team culture.

Essential Requirements

• Bachelor's degree with seven or more years, master's degree with five or more years, or doctorate with two or more years of relevant experience.
• Experience applying data science, statistics, machine learning or advanced analytics to complex scientific, engineering or manufacturing problems.
• Proficiency with either Python or R.
• Knowledge of regression, hypothesis testing, experimental design, multivariate analysis and predictive modelling.
• Ability to translate ambiguous scientific or business questions into structured, reproducible and well-documented analyses.
• Clear communication and effective collaboration with technical and non-technical stakeholders in a cross-functional environment.

Desirable Requirements

• Knowledge of bioprocess engineering, Chemistry, Manufacturing and Controls development, pharmaceutical manufacturing or analytical development.
• Experience creating data pipelines, interactive dashboards or analytical applications in a regulated biopharmaceutical environment.
• Experience with process monitoring, process characterization, assay analytics, comparability assessments, control strategy support, or manufacturing investigation analytics.
• Experience with data tools commonly used in biopharmaceutical development and manufacturing, such as JMP/JSL, SAS, or electronic laboratory/manufacturing data systems.
• Ability to influence without authority, drive alignment across stakeholders, and deliver practical analytical solutions in complex organizational settings.

Compensation And Benefits

The salary for this position is expected to range from $138,600 to $257,400 USD per year. The final salary offered is determined based on factors including 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. Compensation includes a performance-based cash incentive and, depending on the role level, eligibility for consideration for annual equity awards. Eligible United States-based employees receive a comprehensive benefits package including health, life and disability benefits, a 401(k) with company contribution and match, and a generous time-off package. Learn more about life at Novartis, including our culture, rewards and benefits: Novartis Life Handbook

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

Benefits and Rewards

Learn about all the ways we’ll help you thrive personally and professionally. Read our handbook (PDF 30 MB)

EEO Statement

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility & Reasonable Accommodations

The Novartis Group of Companies are 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 application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call [phone] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.