Sr. Principal Scientist, Bioinformatics, Computational Biology, Precision Medicine
Amgen
Hyderabad, India
Production-grade reproducible workflows
Multi-omics data analysis
Ai/ml and software engineering expertise
This role will lead a Hyderabad-based team that delivers production-grade, reproducible workflows across multi-omics and related data types, and will help modernize the bioinformatics stack for the AI era
Job Summary
This role will lead a Hyderabad-based team that delivers production-grade, reproducible workflows across multi-omics and related data types, and will help modernize the bioinformatics stack for the AI era.
Own the technical direction and architecture for production bioinformatics workflows and platforms spanning genomics, transcriptomics, single-cell, spatial omics, proteomics, epigenomics, metabolomics, imaging-derived features, and related biomarker modalities.
Build, manage, and mentor a high-performing team of bioinformaticians and bioinformatics engineers; set clear expectations, provide technical coaching, and drive professional development and career growth.
Matching Summary
This role will lead a Hyderabad-based team that delivers production-grade, reproducible workflows across multi-omics and related data types, and will help modernize the bioinformatics stack for the AI era.
Skills & Requirements
Must-have
production-grade reproducible workflows
multi-omics data analysis
AI/ML and software engineering expertise
leading teams in regulated environments
Python and R programming skills
workflow engines (Nextflow/Snakemake)
containerization (Docker/Singularity)
Nice-to-have
foundation models and agentic workflows
biomarker assay onboarding
algorithm benchmarking and validation
cross-functional partnership and communication
Key Requirements
Master’s or PhD in Bioinformatics, Computational Biology, Genetics/Genomics, Computer Science, Statistics, or related quantitative discipline
13+ years of relevant experience
3+ years of people leadership or strong technical leadership
Experience with single cell RNA-seq and spatial transcriptomics data