Expert II, Data Science – Cell and Gene Therapy
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#LI-HybridLocation: San Diego, United StatesRelocation Support: This role is based in San Diego, United States. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you. Company will not sponsor visas for this position.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 ResponsibilitiesAnalyze 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 RequirementsDoctor of Philosophy in Bioinformatics, Computational Biology, Genomics, Biostatistics, or Systems Biology; or Master's degree with relevant industry experience.Experience analysing 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 visualisation techniques.Demonstrated ability to collaborate effectively and communicate complex scientific concepts clearly.Novartis Compensation Summary: 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 like, but not limited to, 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. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will 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. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here.
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How this role compares
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We currently track 244 comparable Data & Digital roles across 43 biopharma companies.
Salary context
74 of 244 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
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Seniority mix
143 of 244 peers have a known seniority level
Therapeutic area mix
4 of 244 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.