$126,000 - 234,000 yearly
Number of Applicants
:000+
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Band
Level 4
Job Description Summary
#LI-Hybrid
Job Description
Key Responsibilities
Lead the analysis and integration of multi-modal omics datasets, including spatial transcriptomics, proteomics, high-plex imaging, and sequencing-based platforms (e.g., RNA-seq, scRNA-seq, WES, WGS)
Develop and apply advanced statistical, machine learning, and AI-driven methods to extract actionable biological insights from complex datasets
Partner with cross-functional teams to design and execute studies supporting target identification, validation, and translational research
Build and contribute to scalable, reproducible data science workflows and computational pipelines
Ensure high standards of data quality, reproducibility, and scientific rigor in all analyses
Evaluate and implement emerging technologies, including AI-assisted coding platforms and agentic tools, to enhance team effectiveness and innovation
Communicate scientific findings clearly to both technical and non-technical stakeholders
Contribute to knowledge sharing, best practices, and continuous improvement within the computational biology and data science community
Essential Requirements
PhD (or equivalent experience) in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative discipline
Demonstrated expertise in the analysis of complex omics datasets and at least one of the following: spatial transcriptomics, proteomics, or digital pathology
Strong programming skills in R and/or Python
Experience working with high-performance computing (HPC) environments and workflow management systems
Deep understanding of statistical modeling, machine learning, and data integration methodologies
Familiarity with AI-assisted coding tools and modern data science productivity platforms
Strong collaboration and communication skills, with the ability to work effectively in multidisciplinary teams
The salary for this position is expected to range between:
Expert II: [$114,100 – $211,900/year]
Senior Expert I: [$126,000 – $234,000/year]
The final salary and level 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.
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Accessibility and reasonable accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings
Salary Range
$126,000.00 - $234,000.00
Skills Desired
Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisAuto-Apply to Expert II / Senior Expert I, Data Science Jobs with your AI JobCopilot
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