Senior Data Science Expert - Biopharma Analytics Lead

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

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