Sr Scientist - Large Molecule Ontology Specialist

Amgen; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Amgen is seeking a Large Molecule Ontology Specialist within the Research organization in Hyderabad to drive ontology, metadata, and semantic data frameworks enabling AI, analytics, and collaboration across discovery platforms.

The role focuses on defining metadata models, aligning ontologies with standards, and maturing FAIR data practices across Large Molecule Discovery workflows, partnering with scientists, data engineers, and governance teams.

Qualifications

• Doctorate degree with 7+ years of relevant experience in Bioinformatics, Computational Biology, Data Science, Information Science, Life Sciences, Computer Science, or a related field
• Master’s degree with 8+ years of relevant experience
• Bachelor’s degree with 10+ years of relevant experience

Responsibilities

• Develop and maintain LMD ontology frameworks, semantic standards, and controlled vocabularies across key discovery workflows and datasets
• Align ontologies with enterprise data standards and relevant external scientific ontologies
• Manage ontology lifecycle processes, including governance, versioning, change control, and stakeholder engagement
• Define metadata models and requirements that improve data consistency, traceability, quality, and reuse
• Advance FAIR data practices by establishing maturity metrics, monitoring KPIs, and embedding reusable data practices into research workflows
• Partner with AI/ML, data engineering, and scientific teams to structure interoperable data assets for analytics, model training, and discovery
• Collaborate with data product owners, data engineers, platform teams, and scientists to embed FAIR data practices into research workflows and data products
• Serve as a subject matter expert for semantic technologies, scientific data standards, stakeholder alignment, and ontology‑enabled discovery capabilities

Skills

Ontology design

Semantic technologies

Metadata management

Python

SQL

AI/ML data requirements

Data engineering practices

Knowledge graph concepts

Education

Doctorate degree

Master’s degree

Bachelor’s degree

Tools

OWL

RDF

SKOS

Protégé

Job description

Large Molecule Ontology Specialist (Large Molecule Discovery Informatics)

What You Will Do

In this vital and exciting role, you will serve as a Large Molecule Ontology Specialist within the Research organization, driving the development and implementation of ontology, metadata, and semantic data frameworks that enable scalable AI, advanced analytics, and cross‑functional scientific collaboration.

You will be responsible for defining and implementing assay and metadata standards across Large Molecule Discovery (LMD), ensuring semantic consistency and interoperability across experimental platforms, scientific workflows, and data modalities. The successful candidate will partner closely with research scientists, informaticians, data engineers, and enterprise data governance teams to establish harmonized ontologies, metadata frameworks, and FAIR data practices that improve data discoverability, reuse, and AI readiness.

Operating at the intersection of biology, data science, and informatics, you will combine scientific domain expertise with a deep understanding of semantic technologies, ontology management, and scientific data standards to build foundational capabilities that accelerate discovery.

• Develop and maintain LMD ontology frameworks, semantic standards, and controlled vocabularies across key discovery workflows and datasets
• Align ontologies with enterprise data standards and relevant external scientific ontologies
• Manage ontology lifecycle processes, including governance, versioning, change control, and stakeholder engagement
• Define metadata models and requirements that improve data consistency, traceability, quality, and reuse
• Advance FAIR data practices by establishing maturity metrics, monitoring KPIs, and embedding reusable data practices into research workflows
• Partner with AI/ML, data engineering, and scientific teams to structure interoperable data assets for analytics, model training, and discovery
• Collaborate with data product owners, data engineers, platform teams, and scientists to embed FAIR data practices into research workflows and data products
• Serve as a subject matter expert for semantic technologies, scientific data standards, stakeholder alignment, and ontology‑enabled discovery capabilities

What We Expect Of You

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a subject matter expert with these qualifications.

Basic Qualifications

• Doctorate degree with 7+ years of relevant experience in Bioinformatics, Computational Biology, Data Science, Information Science, Life Sciences, Computer Science, or a related field
• Master’s degree with 8+ years of relevant experience
• Bachelor’s degree with 10+ years of relevant experience

Preferred Qualifications

• Experience developing biomedical or scientific ontologies and applying semantic technologies, ontology design principles, and metadata management practices
• Proficiency with ontology and data standards tools and frameworks such as OWL, RDF, SKOS, Protégé, FAIR principles, and life science data standards
• Experience integrating structured and unstructured scientific data across domains using data models, metadata architecture, and knowledge graph concepts
• Familiarity with AI/ML data requirements, scientific data engineering practices, large‑scale data quality monitoring, Python, and SQL
• Strong ability to influence across matrixed organizations, facilitate stakeholder alignment, and communicate effectively in writing and verbally
• Experience leading cross‑functional standards‑development initiatives and working in SAFe/Agile environments

What You Can Expect Of Us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well‑being.

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.