Senior Expert Data Science
Novartis
September 03, 2026
Remote friendly (East Hanover, NJ)
United States
IT
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 7+ years, Master’s with 5+ years, or Doctorate with 2+ years 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 modelling.
- Ability to translate ambiguous scientific or business questions into structured, reproducible and well-documented analyses.
- Clear communication and collaboration with technical and non-technical stakeholders.
Desirable Requirements:
- Knowledge of bioprocess engineering, CMC development, pharmaceutical manufacturing or analytical development.
- Experience creating data pipelines, interactive dashboards or analytical applications in regulated biopharmaceutical environments.
- Experience with process monitoring/characterization, assay analytics, comparability, control strategy support, or manufacturing investigation analytics.
- Experience with JMP/JSL, SAS, or electronic laboratory/manufacturing data systems.
- Ability to influence without authority and deliver practical analytical solutions.
Compensation And Benefits:
- Salary range: $138,600 to $257,400 USD per year. Performance-based cash incentive; eligibility for annual equity awards depending on level. Comprehensive benefits including health, life and disability, 401(k) with match, and time-off package.
- 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 7+ years, Master’s with 5+ years, or Doctorate with 2+ years 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 modelling.
- Ability to translate ambiguous scientific or business questions into structured, reproducible and well-documented analyses.
- Clear communication and collaboration with technical and non-technical stakeholders.
Desirable Requirements:
- Knowledge of bioprocess engineering, CMC development, pharmaceutical manufacturing or analytical development.
- Experience creating data pipelines, interactive dashboards or analytical applications in regulated biopharmaceutical environments.
- Experience with process monitoring/characterization, assay analytics, comparability, control strategy support, or manufacturing investigation analytics.
- Experience with JMP/JSL, SAS, or electronic laboratory/manufacturing data systems.
- Ability to influence without authority and deliver practical analytical solutions.
Compensation And Benefits:
- Salary range: $138,600 to $257,400 USD per year. Performance-based cash incentive; eligibility for annual equity awards depending on level. Comprehensive benefits including health, life and disability, 401(k) with match, and time-off package.