Senior Expert Ii Data Scientist In Translational Medicine

Novartis

Hyderabad, India
Statistical programming in r and bioconductor
Proficiency with unix/bash and python scripting
High-throughput biomarker data analysis
As a Data Scientist in Novartis’ Quantitative Sciences & Innovation Biomarker Development unit, you will support global clinical trial teams by applying high-throughput biomarker data to study disease differences, drug effectiveness, and patient safety at molecular detail

Job Summary

  • As a Data Scientist in Novartis’ Quantitative Sciences & Innovation Biomarker Development unit, you will support global clinical trial teams by applying high-throughput biomarker data to study disease differences, drug effectiveness, and patient safety at molecular detail.
  • You will conceive, design, and execute exploratory analyses across clinical trials phases, lead cross-functional biomarker collaborations, and contribute to shaping Novartis’ data and digital strategy.
  • Novartis empowers curious, courageous, and collaborative people to ask new questions, make bold decisions, and take smart risks to improve and extend more people’s lives.

Matching Summary

As a Data Scientist in Novartis’ Quantitative Sciences & Innovation Biomarker Development unit, you will support global clinical trial teams by applying high-throughput biomarker data to study disease differences, drug effectiveness, and patient safety at molecular detail.

Skills & Requirements

Must-have

  • Statistical programming in R and Bioconductor
  • Proficiency with Unix/Bash and Python scripting
  • High-throughput biomarker data analysis
  • Experience with single-cell and spatial transcriptomics
  • Machine learning and biostatistics expertise
  • Clinical trial biomarker collaboration
  • Reproducible scalable pipeline workflows

Nice-to-have

  • Strong communication skills
  • Curious and creative scientific mindset
  • Experience with generative coding assistants
  • Cross-functional global team collaboration
  • Adherence to data engineering principles

Key Requirements

  • PhD, MD or equivalent experience in relevant fields
  • Three or more years analyzing large-scale biological datasets
  • Strong grasp of human genomics and next generation sequencing
  • Experience with CDISC standards and GCP/GxP compliance
  • Experience in drug discovery/development or academic setting

Work Rights

Not specified

Tailored Resume

Cover Letter