Senior Data Scientist, Cell & Gene Therapy Analytics

Novartis Group Companies

San Diego (CA)

On-site

USD 114,000 - 212,000

Full time

5 days ago
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Job summary

Novartis Group of Companies is seeking an Expert II, Data Science - Cell and Gene Therapy, based in San Diego. You will transform complex biological data into actionable insights and help shape innovative therapies by building robust analytical approaches and collaborating with scientists and engineers.

Responsibilities include developing bioinformatics pipelines, applying advanced statistics, and delivering clear visualizations for cross-functional stakeholders, with a focus on safety and

Qualifications

  • PhD or Master’s in a relevant field with industry experience.
  • Experience analysing next-generation sequencing or other high-throughput datasets.
  • Proficiency in Python, R, or similar scientific programming languages.

Responsibilities

  • Analyze multi-omics datasets to generate insights for cell and gene therapy R&D.
  • Develop and maintain reproducible bioinformatics pipelines for sequencing workflows.
  • Evaluate genome integrity, therapeutic performance, and safety of C&GT candidates.
  • Apply statistical and computational methods for robust data analyses.
  • Create clear visualizations and presentations for stakeholders.
  • Collaborate with lab teams to design experiments and analysis strategies.
  • Document methods and findings per quality standards.

Skills

Python
R
Cloud computing
Statistics
Collaboration

Education

PhD in Bioinformatics/Computational Biology/Genomics/Biostatistics or Systems Biology; or Master’s with relevant experience

Tools

High-performance computing
NGS data analysis

Job description

Novartis Group of Companies is seeking an Expert II, Data Science - Cell and Gene Therapy, based in San Diego. You will transform complex biological data into actionable insights and help shape innovative therapies by building robust analytical approaches and collaborating with scientists and engineers.

Responsibilities include developing bioinformatics pipelines, applying advanced statistics, and delivering clear visualizations for cross-functional stakeholders, with a focus on safety and

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