PHARMAFull-time
Senior Data Scientist – Surfaceome Biology
By Admin · Data Science, Analytics & AI
HYDERABAD (IN)ONSITEPOSTED: 10/6/2026
PHARMAFull-time
HIRING ORGANIZATIONAMGENBiotechnology / Pharmaceuticals
ROLE OVERVIEW
Amgen is hiring a Senior Data Scientist – Surfaceome Biology in Hyderabad to develop computational and AI/ML approaches for integrating biomedical data and supporting target discovery, validation, biomarker development, and therapeutic research.
ROLE DEFINITION & RESPONSIBILITIES
- •external biomedical dataset evaluation
- •evidence-source qualification
- •data pipeline design
- •common data model development
- •data curation
- •data harmonization
- •quality control
- •metadata standardization
- •AI/ML method development
- •multimodal learning
- •representation learning
- •foundation models
- •knowledge graphs
- •DataOps
- •MLOps
- •workflow orchestration
- •data and model versioning
- •automated testing
- •validation
- •deployment
- •monitoring
- •cross-functional collaboration
- •biological insight generation
QUALIFICATIONS & REQUIREMENTS
REQUIRED QUALIFICATIONS
- PhD in computational biology
- bioinformatics
- computer science
- data science
- or related quantitative field, preferably with industry experience
- OR master's degree
- OR bachelor's degree with 8-12 years of directly related experience
- strong communication and collaboration skills
PREFERRED QUALIFICATIONS
- •Experience with complex biomedical data
- •external biomedical dataset evaluation and integration
- •multi-omics and multimodal data integration
- •machine learning and AI methods for biological systems
- •Python
- •R
- •reproducible analytical workflows
- •cloud-scale data processing
- •workflow orchestration
- •software engineering
- •version control
- •continuous integration
- •automated testing
- •MLOps
- •agentic AI
- •LLM-enabled scientific workflows
- •innovative algorithm and model development
REQUIRED VERIFIED SKILLS
Computational biology
Bioinformatics
Data science
Biomedical data
Multi-omics
Multimodal data integration
Machine learning
AI/ML
Python
R
Data pipelines
Data harmonization
Metadata standardization
DataOps
MLOps
Workflow orchestration
Version control
Continuous integration
Automated testing
Foundation models
Representation learning
Knowledge graphs
Agentic AI
LLM-enabled scientific workflows
COMPENSATION & REWARDS
Salary: Competitive / Disclosed upon candidate shortlisting
ORGANIZATION CONTEXT & CULTURE
Amgen's Bioinformatics Technologies team is part of its Automation, Research Data Systems, Informatics, and AI organization and develops and applies digital technologies in computational biology for therapeutic discovery.
TEAM SIZE: 25,000+ employees
INDUSTRY: Biotechnology / Pharmaceuticals
Culture: Creative; open-minded; passionate about research; collaborative
APPLICATION ADVISORY
Candidates should highlight advanced training or substantial directly related experience in computational biology, bioinformatics, data science, or a quantitative discipline. Experience integrating complex biomedical or multi-omics datasets, developing AI/ML methods, programming in Python or R, building reproducible workflows, and applying DataOps/MLOps practices should be emphasized.
RECOMMENDED TRAINING
1/5
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