Senior Scientist - NGS Bioinformatics (Data Standardization & Platform Integration)

Amgen
Amgen logo
Location
India - Hyderabad
Job Type
Full-time
Posted
September 9, 2026
Views
1

Job Description

Career 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.

Senior Scientist - NGS Bioinformatics (Data Standardization & Platform Integration)

Live

What you will do

The Bioinformatician – NGS (Data Standardization & Platform Integration) will support Large Molecule Discovery by standardizing, validating, and scaling NGS data workflows so sequencing outputs can be reliably reused across research programs and enterprise platforms. This role will focus on making NGS pipelines reproducible, efficient, and ready for integration into existing data systems and downstream analytics.

Working closely with bioinformatics principal scientists, data scientists, software engineers, and laboratory scientists, this individual will help ensure sequencing data is well structured, consistent, and suitable for broader use in analytics, machine learning, and platform-enabled research. The role combines workflow optimization, data standardization, and platform integration, and is well suited for someone who enjoys building robust computational systems that improve scale, consistency, and reuse.

In this role, your core responsibilities include:

  • Standardize, validate, and optimize NGS workflows to support reproducible and scalable sequencing analysis across research programs and data analysis pipelines.
  • Improve pipeline performance, including runtime, memory efficiency, operational reliability, and consistency of outputs.
  • Support development of NGS data models, metadata standards, and structured output formats to ensure sequencing information is captured and stored appropriately for downstream use in the database/CDL and broader informatics ecosystem.
  • Collaborate closely with bioinformatics scientists, data scientists, software engineers, and laboratory scientists to align workflow requirements and integration sequencing data into enterprise platforms for analytics, reporting, and downstream reuse.
  • Support validation, testing, and reproducibility practices that help ensure sequencing workflows are reliable, traceable, and suitable for long-term operational use.

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 PhD

Or

Master’s degree with 8+ years of directly related experience

Or

Bachelor’s degree and 10+ years of directly related experience

Preferred Qualifications

  • PhD with 5+ years of experience standardizing, validating, and scaling NGS workflows for reproducible use across research programs or enterprise environments.
  • Strong background in workflow performance optimization, including runtime, memory efficiency, and operational stability.
  • Familiarity with workflow management and orchestration tools such as Nextflow or Snakemake.
  • Experience with structured NGS data capture in LIMS for downstream analytics and platform use.
  • Experience integrating bioinformatics outputs into enterprise data platforms and structured repositories with an emphasis on supporting data governance, traceability, lineage, and reproducibility for scientific datasets.
  • Experience working closely with data scientists to ensure scientific data is modeled, saved, and organized correctly for downstream use.
  • Familiarity with containerization and cloud- or HPC-based execution 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.

Career 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.

Senior Scientist - NGS Bioinformatics (Data Standardization & Platform Integration)

Live

What you will do

The Bioinformatician – NGS (Data Standardization & Platform Integration) will support Large Molecule Discovery by standardizing, validating, and scaling NGS data workflows so sequencing outputs can be reliably reused across research programs and enterprise platforms. This role will focus on making NGS pipelines reproducible, efficient, and ready for integration into existing data systems and downstream analytics.

Working closely with bioinformatics principal scientists, data scientists, software engineers, and laboratory scientists, this individual will help ensure sequencing data is well structured, consistent, and suitable for broader use in analytics, machine learning, and platform-enabled research. The role combines workflow optimization, data standardization, and platform integration, and is well suited for someone who enjoys building robust computational systems that improve scale, consistency, and reuse.

In this role, your core responsibilities include:

  • Standardize, validate, and optimize NGS workflows to support reproducible and scalable sequencing analysis across research programs and data analysis pipelines.
  • Improve pipeline performance, including runtime, memory efficiency, operational reliability, and consistency of outputs.
  • Support development of NGS data models, metadata standards, and structured output formats to ensure sequencing information is captured and stored appropriately for downstream use in the database/CDL and broader informatics ecosystem.
  • Collaborate closely with bioinformatics scientists, data scientists, software engineers, and laboratory scientists to align workflow requirements and integration sequencing data into enterprise platforms for analytics, reporting, and downstream reuse.
  • Support validation, testing, and reproducibility practices that help ensure sequencing workflows are reliable, traceable, and suitable for long-term operational use.

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 PhD

Or

Master’s degree with 8+ years of directly related experience

Or

Bachelor’s degree and 10+ years of directly related experience

Preferred Qualifications

  • PhD with 5+ years of experience standardizing, validating, and scaling NGS workflows for reproducible use across research programs or enterprise environments.
  • Strong background in workflow performance optimization, including runtime, memory efficiency, and operational stability.
  • Familiarity with workflow management and orchestration tools such as Nextflow or Snakemake.
  • Experience with structured NGS data capture in LIMS for downstream analytics and platform use.
  • Experience integrating bioinformatics outputs into enterprise data platforms and structured repositories with an emphasis on supporting data governance, traceability, lineage, and reproducibility for scientific datasets.
  • Experience working closely with data scientists to ensure scientific data is modeled, saved, and organized correctly for downstream use.
  • Familiarity with containerization and cloud- or HPC-based execution 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.

Apply now

for a career that defies imagination

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

careers.amgen.com

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.

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Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located in Hyderabad, India. The job posting does not specify a remote, hybrid, or on-site work-mode policy.
What are the key responsibilities of this role?
You will standardize, validate, and optimize NGS workflows to support reproducible sequencing analysis. You will improve pipeline performance, support the development of NGS data models and metadata standards, and collaborate with cross-functional teams to integrate sequencing data into enterprise platforms for downstream analytics and reuse.
What qualifications and experience are required?
Candidates must have a PhD, a Master's degree with 8+ years of directly related experience, or a Bachelor's degree with 10+ years of directly related experience.
What preferred qualifications would make my application stand out?
Preferred qualifications include a PhD with 5+ years of experience scaling NGS workflows, expertise in workflow optimization, familiarity with Nextflow or Snakemake, experience with LIMS and enterprise data platforms, and familiarity with containerization and cloud- or HPC-based execution environments.

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  • Verified H-1B salary data
  • Clinical-trial hiring momentum
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Job Information

Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Worldwide
Skills & Tags:
amgen machine learning bioinformatics

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