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# Senior Expert I, Data Science

- **Company:** Novartis Corporation
- **Location:** United States
- **Experience:** Expert
- **Salary:** $126,000.0 - $234,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Bioinformatics, Computational Biology, Data Mining, Python (Programming Language), Machine Learning, Large Language Models, Information Technology, Software Version Control, Programming Languages
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0c9193999d5e29e6

## About the Role

Do you have experience in Version control?, The Low Molecular Weight (LMW) team at Novartis Biomedical Research Oncology Data Science is seeking a highly motivated Senior Computational Scientist to join our team. With a focus on induced proximity therapeutics, you will collaborate with cross-functional teams in Biomedical Research and Oncology stakeholders to advance efforts in target identification and drug development to support our ground-breaking drug discovery programs., * PhD in Computational Biology, System Biology, Bioinformatics, Data/Computer Science, or related field with relevant industry experience.

 * Strong knowledge of cancer biology and multi-modal data types such as genomics, transcriptomics, proteomics and phenotypic screening data.
Proficiency in one or more programming languages for bioinformatics applications (e.g., Python, R) with experience in UNIX/Linux environment, version control, and reproducible workflows.
Demonstrated statistical rigor and analytic depth in the analysis of high-dimensional omics datasets (e.g., bulk and single-cell transcriptomics, genomics).

 * Demonstrated experience leveraging AI-assisted coding tools (e.g., copilots, code generators, and LLM-based workflows) to accelerate data analysis, model development, and reproducible scientific pipelines.
 * Familiarity with data workflows, including preclinical biomarker discovery and validation; survival analysis is a plus.
 * Proven ability to work independently, prioritize tasks effectively, define next steps and manage multiple projects and stakeholders in a fast-paced environment.
 * Excellent communication skills, with the ability to deliver complex scientific concepts to diverse audiences.
Curiosity, creativity and a solution-oriented mindset when addressing scientific problems.
Fluency in English (written and verbal).

## Description

* Collaborate closely with interdisciplinary wet-lab and computational scientists to design, analyze, and interpret high-dimensional biological data (e.g., bulk RNA-seq, DNA-seq, CRISPR, drug screening) to inform critical project decision.
 * Lead profiling strategies and analysis of high-throughput genomic and phenotypic screening data to inform patient stratification and mechanism of resistance, in support of drug discovery and development.
 * Integrate multi-modal internal and external preclinical datasets (e.g., genomics, transcriptomics, pharmacology, and functional screens) to produce translationally relevant insights.
Apply advanced bioinformatics and machine learning approaches across multi-modal datasets to uncover novel, actionable biological insights and therapeutic hypotheses.

 * Develop and implement innovative analytical methods to support emerging technologies and to effectively integrate, interrogate, and visualize multi-dimensional datasets.
 * Drive oncology research by leveraging data mining and genomic profiling to identify novel targets for induced proximity modality, elucidate mechanism of action and support patient stratification strategies.
 * Communicate integrative analyses and key findings clearly and effectively to diverse audiences, including cross-functional scientific teams and stakeholders.


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