Senior Expert Data Science

U014 (FCRS = US014) Novartis Pharmaceuticals Corporation; United States; Hybrid; USD 139,000 - 257,000; Full time

Job summary

Novartis Pharmaceuticals Corporation in East Hanover, New Jersey, is seeking a Senior Expert Data Science to transform complex scientific data into insights and support Chemistry, Manufacturing and Controls decision-making across technical R&D. 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, develop data pipelines, dashboards and analytical

Qualifications

• Experience applying data science, statistics and analytics to complex problems.
• Ability to translate questions into structured analyses and deliverables.
• Proficiency with Python or R and strong communication with stakeholders.

Responsibilities

• Partner with scientific and cross-functional teams to frame questions.
• Apply statistics, ML and multivariate methods to datasets.
• Deliver analyses supporting characterization, monitoring and control strategy.
• Build data pipelines to ingest, clean, transform, and integrate data.
• Develop curated datasets, models and analytical products for repeatable analysis.
• Create dashboards, reports and presentations for technical and non-technical audiences.
• Lead data science projects from definition to delivery, managing scope and risks.
• Guide colleagues on reproducible analytical practices in a collaborative culture.

Skills

Statistics & ML concepts

Data analysis

Cross-functional collaboration

Clear communication

Education

Bachelor's degree (7+ years)

Master's degree (5+ years)

Doctorate (2+ years)

Tools

Python

R

JMP/JSL

SAS

Job description

Band Level 4 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.

Job Description #LI-Hybrid

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.
• Salary Range $138,600.00 - $257,400.00

Skills Desired

• Classification Systems (Inactive)
• Clinical Trials
• Computer Data Storage
• Computer Programming
• Cross-Functional Teamwork
• Data Analysis
• Data Structures
• Initiative (Inactive)
• Management Reporting
• Programming Languages
• Statistical Analysis

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, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

Accessibility and 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 in order to perform the essential functions of a position, please send an e-mail to [e-mail] call [phone] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings

Company Culture

Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people's lives.