Sr. Principal Scientist – Bioinformatics, Computational Biology, Precision Medicine
Company: Amgen
Location: Hyderabad, Telangana, India
Job Type: Full-Time | On-Site
Experience: 13+ Years (Bioinformatics / Computational Biology / Precision Medicine)
Qualification: Master’s or PhD in Bioinformatics, Computational Biology, Genetics, Computer Science, Statistics, or related quantitative field
Approx Salary: ₹80 LPA – ₹1.3 Cr
Job Overview
Amgen is seeking a Sr. Principal Scientist – Bioinformatics & Computational Biology to lead advanced bioinformatics platforms and teams supporting precision medicine and clinical development.
This leadership role focuses on developing scalable multi-omics workflows, enabling AI-driven bioinformatics platforms, and delivering production-grade analytical pipelines to support global drug development programs.
The position will also drive modernization of the bioinformatics technology stack for the AI era, including responsible use of machine learning, foundation models, and automated analytical workflows.
Key Responsibilities
1. Bioinformatics Platform & Architecture Leadership
Lead the technical architecture for production-grade bioinformatics workflows across multi-omics datasets.
Build scalable pipelines for:
Genomics and transcriptomics
Single-cell and spatial omics
Proteomics and metabolomics
Epigenomics and imaging-derived data
Define best practices for pipeline modularity, performance optimization, and data management.
Implement workflow orchestration using tools like Nextflow or Snakemake.
2. Reproducibility, Validation & Data Quality
Establish standards for reproducible bioinformatics pipelines using:
Version control (Git)
Containerization (Docker / Singularity)
CI/CD and automated testing
Develop algorithm benchmarking and validation frameworks.
Ensure robust data integrity, traceability, and quality control across the analytics lifecycle.
3. Assay Integration & Algorithm Development
Collaborate with internal laboratories and external vendors to onboard new biomarker assays.
Define data specifications and metadata standards for incoming datasets.
Develop algorithms for:
Data normalization
Assay output reporting
Sensitivity and specificity analysis
Manage bioinformatics standards for formats such as FASTQ, BAM, CRAM, VCF, and HDF5.
4. AI & Advanced Analytics Enablement
Enable machine learning and deep learning applications on multi-omics datasets.
Support implementation of:
AI-driven analytics platforms
Foundation models for biomedical data
Automated or agent-based bioinformatics workflows
Establish monitoring frameworks for bias detection, model drift, and validation in AI systems.
5. Team Leadership & Development
Build and manage a high-performing team of bioinformaticians and engineers.
Provide technical mentorship, code reviews, and scientific oversight.
Manage team capacity, delivery planning, and global collaboration across time zones.
6. Cross-Functional Collaboration
Partner with computational biologists, biomarker scientists, translational researchers, and data engineers.
Translate complex biological data into scalable analytical pipelines and data products.
Communicate insights through technical documentation, reports, and cross-functional presentations.
Required Skills
Technical Skills
Advanced expertise in bioinformatics pipeline development and multi-omics analysis
Strong programming skills in Python and R
Experience with workflow orchestration tools such as Nextflow or Snakemake
Experience with HPC and cloud computing environments
Strong knowledge of genomics data formats and metadata standards
Bioinformatics & Omics Expertise
Experience analyzing:
Whole genome sequencing (WGS)
RNA sequencing (RNA-seq)
Single-cell RNA sequencing
Spatial transcriptomics
Proteomics and metabolomics datasets
Understanding of variant calling, gene expression analysis, structural variants, and fusion detection
Preferred Qualifications
Experience building production-grade analytical platforms in pharmaceutical or biotech companies
Experience leading large bioinformatics teams or global cross-functional projects
Knowledge of AI/ML applications in biomedical research
Strong expertise in data quality frameworks, benchmarking pipelines, and algorithm validation
Key Competencies
Multi-omics bioinformatics pipeline development
Precision medicine analytics and biomarker data analysis
AI and machine learning applications in genomics
Bioinformatics platform architecture and scalable systems
Scientific leadership and cross-functional collaboration
About the Company
Amgen is a global biotechnology leader focused on developing innovative therapies for serious diseases. By combining advanced biology, data science, and precision medicine, Amgen continues to accelerate drug discovery and improve outcomes for patients worldwide.
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