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

Amgen Inc. (IR); Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Amgen Inc. (IR) in Hyderabad seeks a Bioinformatician – NGS to standardize, validate, and scale data workflows so sequencing outputs can be reused across research programs and enterprise platforms.

You will collaborate with bioinformatics scientists, data scientists, software engineers, and laboratory staff to ensure data are well structured, governed, and ready for analytics, ML, and platform-enabled research. A PhD or equivalent and strong NGS experience are required.

Qualifications

• PhD in a relevant field or equivalent long-term experience.
• 8+ years with Master’s or 10+ years with Bachelor’s in related work.
• Experience standardizing, validating, and scaling NGS workflows.

Responsibilities

• Standardize, validate, and optimize NGS workflows for reproducibility.
• Improve pipeline performance in runtime and memory efficiency.
• Develop NGS data models and metadata standards for downstream use.
• Collaborate with scientists, data engineers, and lab staff to integrate data into enterprise platforms.
• Support validation and reproducibility practices for long-term use.

Skills

NGS data standardization

Workflow optimization

Data governance

Collaboration

Containerization

Cloud/HPC environments

Education

Doctorate degree (PhD)

Master's degree

Bachelor's degree

Tools

Nextflow

Snakemake

LIMS

Docker

Job description

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 integrate 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.

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.

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.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen