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.
- 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.
- 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.
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
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 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 to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
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 AnalysisSkills Required
- Bachelor's degree and 7 or more years of relevant experience
- Master's degree and 5 or more years of relevant experience
- Doctorate and 2 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 Python or R
- Knowledge of regression, hypothesis testing, experimental design, multivariate analysis, and predictive modeling
- Ability to translate ambiguous questions into structured, reproducible, and documented analyses
- Clear communication and collaboration with technical and non-technical stakeholders
- Knowledge of bioprocess engineering, CMC 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 JMP/JSL, SAS, or electronic laboratory/manufacturing data systems
- Ability to influence without authority and drive stakeholder alignment
Novartis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.
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Healthcare Strength — Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
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Retirement Support — Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
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Parental & Family Support — Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.
Novartis Insights
What We Do
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.
