Sr Scientist - Large Molecule Ontology Specialist

Biopharma Careers; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Amgen is seeking a Large Molecule Ontology Specialist within the Research organization to drive ontology, metadata, and semantic data frameworks enabling AI and advanced analytics. You will define standards across Large Molecule Discovery to ensure interoperability across experimental platforms and workflows.

You will collaborate with scientists, informaticians, data engineers, and governance teams to establish harmonized ontologies, metadata and FAIR practices that improve data discoverability

Qualifications

• Doctorate degree with 7+ years in Bioinformatics, Computational Biology, Data Science or related field and relevant industry experience.
• Master’s degree with 8+ years of relevant experience, OR
• 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 development

Semantic standards

Metadata management

Python

SQL

FAIR data

Education

PhD in Bioinformatics/related field

MS in related field

BS in related field

Tools

OWL

RDF

Protégé

FAIR principles

Life science data standards

Job description

Career Category

Research

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission, to serve patients, drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together, researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.

Large Molecule Ontology Specialist (Large Molecule Discovery Informatics)

Live

What you will do

Let’s do this. Let’s change the world. 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.

In this role, your core responsibilities include:

• 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+ in Bioinformatics, Computational Biology, Data Science, Information Science, Life Sciences, Computer Science, or a related field and relevant industry experience


• Master’s degree with 8+ years of relevant experience, OR


• 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.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Equal Opportunity Statement

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.

careers.amgen.com