Jobs · Engineering · California

Expert II, Data Science – Cell and Gene Therapy

Novartis · San Diego, CA · 1 mo ago
HybridEngineering$114k–$212k/yrFull-time

Location: San Diego, United States. This role does not include relocation support and the company will not sponsor visas. Please apply only if this location is accessible to you.

About the role

Imagine transforming complex biological data into discoveries that could redefine the future of cell and gene therapies. As an Expert II, Data Science – Cell and Gene Therapy, you will combine cutting‑edge computational biology, bioinformatics, and data science to unlock insights from next‑generation sequencing and multi‑omics datasets. Working alongside scientists, bioengineers, and development teams, you will help shape innovative therapies by developing robust analytical approaches, driving data‑informed decisions, and advancing research that has the potential to improve patients' lives worldwide.

Key Responsibilities

  • Analyze multi‑omics datasets to generate insights supporting cell and gene therapy research and development.
  • Develop and maintain reproducible bioinformatics pipelines for sequencing and candidate evaluation workflows.
  • Evaluate genome integrity, therapeutic performance, and safety of cell and gene therapy candidates.
  • Apply statistical and computational methods to deliver robust, high‑quality data analyses.
  • Create clear visualizations and presentations for technical and cross‑functional stakeholders.
  • Partner with laboratory teams to design experiments and define effective analysis strategies.
  • Document analytical methods, workflows, and findings in line with quality standards.

Essential Requirements

  • Doctor of Philosophy in Bioinformatics, Computational Biology, Genomics, Biostatistics, or Systems Biology; or a Master’s degree with relevant industry experience.
  • Experience analyzing next‑generation sequencing or other high‑throughput biological datasets.
  • Proficiency in Python, R, or similar scientific programming languages.
  • Experience using cloud computing platforms or high‑performance computing environments.
  • Strong knowledge of statistical analysis, experimental design, and data visualization techniques.
  • Demonstrated ability to collaborate effectively and communicate complex scientific concepts clearly.

Compensation

The salary for this position is expected to range between $114,100 and $211,900 per year. The final salary offered is determined based on factors such as relevant skills and experience and will be reviewed periodically. Compensation includes a performance‑based cash incentive and, depending on the level of the role, eligibility for annual equity awards.

Benefits

US‑based eligible employees receive a comprehensive benefits package that includes health, life, and disability benefits; a 401(k) with company contribution and match; and a variety of other benefits. Employees are also eligible for a generous time‑off package including vacation, personal days, holidays, and other leaves.

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