Expert II / Senior Expert I, Data Science, New Targets

Novartis

Hybrid

Quick summary

Work type
Hybrid
Location
Cambridge, MA
Salary
$114,100–$211,900 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $163k
$101k most similar roles pay here $234k

This role pays less than 52% of similar roles. Most pay $130,375–$207,735 — the shaded band above. At the midpoint, this role pays about $163k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Novartis

Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals

Novartis currently has 12 open roles on FindRole.

Listed pay typically runs $194,600–$361,400 across 12 roles with salary data.

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View all roles at Novartis

At a glance

TL;DR · Expert II / Senior Expert I, Data Science, New Targets

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The Oncology Data Science team at Biomedical Research in Cambridge, Massachusetts seeks a Senior Expert I or Expert II in Data Science to lead the analysis and integration of multi-modal omics datasets for target discovery. This role involves applying advanced statistical, machine learning, and AI-driven methods to extract actionable biological insights from complex data types such as spatial transcriptomics, proteomics, high-plex imaging, and sequencing platforms. The candidate will develop scalable computational pipelines, collaborate with cross-functional teams on translational research, and ensure scientific rigor in all analyses. Essential skills include expertise in R or Python programming, experience with HPC environments, and familiarity with AI-assisted coding tools. This position addresses the challenge of integrating diverse omics data to accelerate oncology drug discovery at a large pharmaceutical company.

Skills

Python R SQL Pandas MachineLearning DeepLearning StatisticalAnalysis TimeSeriesAnalysis AI NLP HPC WorkflowManagementSystems DataIntegration CI/CD

What you'll do

  • Lead analysis and integration of multi-modal omics datasets.
  • Develop advanced statistical and machine learning methods for complex data.
  • Design studies supporting target identification and translational research.
  • Build scalable, reproducible data science workflows and computational pipelines.
  • Ensure high standards of data quality and scientific rigor in analyses.
  • Evaluate and implement emerging AI technologies to enhance team effectiveness.
  • Communicate scientific findings clearly to both technical and non-technical stakeholders.

What we're looking for

  • PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or related field
  • Expertise in analyzing complex omics datasets and at least one modality: spatial transcriptomics, proteomics, digital pathology
  • Strong programming skills in R and Python
  • Experience with high-performance computing (HPC) environments and workflow management systems
  • Deep understanding of statistical modeling, machine learning, and data integration methodologies

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