Job Description Summary
#LI-HybridLocation: Cambridge, Massachusetts, United States
This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you.
The Oncology Data Science team in Biomedical Research works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering to advance innovative therapeutics across drug modalities. We are seeking a highly motivated Senior Expert I / Expert II, Data Science to join the New Targets team as an experienced individual contributor. This role will apply advanced statistical, machine learning, and computational approaches to generate biological insight from complex multi-modal datasets and support target discovery and prioritization.
The successful candidate will bring expertise across multiple omics modalities and data types, including spatial transcriptomics, proteomics, digital pathology, mIF or similar high-plex tissue imaging modalities as well as other high-dimensional molecular data such as bulk and single-cell RNA-seq, WES, WGS, etc. The role requires both scientific depth and technical fluency, including modern AI-enabled workflows that improve productivity, reproducibility, and scale.
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, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
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 to perform the essential functions of a position, please send an e-mail to [email protected] or 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.
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 AnalysisSkills Required
- PhD or equivalent experience in Computational Biology, Bioinformatics, Statistics, Computer Science, or related quantitative discipline
- Demonstrated expertise analyzing complex omics datasets and at least one of spatial transcriptomics, proteomics, or digital pathology
- Experience with bulk and single-cell RNA-seq, WES, WGS, and high-plex tissue imaging (e.g., mIF)
- 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 for multidisciplinary teams
- Experience with Pandas, SQL, deep learning frameworks, graph algorithms, NLP/GenAI, and time series analysis
Novartis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.
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Healthcare Strength — Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
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Retirement Support — Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
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Parental & Family Support — Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.
Novartis Insights
What We Do
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.


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