Hyderabad Telangana Biomedical engineer Jobs – 37 Open Jobs Today

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Sr Scientist - Large Molecule Ontology Specialist

Amgen -
Hyderabad, Telangana

Apply Now

Job details

Qualifications

Ontology
Bioinformatics
SAFe
R
Research
Master's degree
SQL
Bachelor's degree
RDF
Semantic Web
Agile
Data science
Metadata
AI
Graph databases
Python

Full job description

India - Hyderabad

JOB ID: R-247971 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Aug. 31, 2026 CATEGORY: Research

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

Win

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

Thrive

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.

for a career that defies imagination

Objects in your future are closer than they appear. Join us.
careers.amgen.com

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.

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.

Apply Now

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Sr Scientist - Large Molecule Ontology Specialist

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