Sr. Scientist – AI/ML Governance & Operations

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

Benefits offered by this job

Retirement and Savings Plan

Stock-based long-term incentives

Flexible time-off plans

Flexible work models including remote

Job summary

Amgen is seeking a Sr. Scientist for AI/ML Governance & Operations in Large Molecule Discovery Informatics. The role drives foundational standards, governance processes, and operational practices to scale AI capabilities across research workflows.

You will partner with AI scientists, software engineers, data engineers, and enterprise partners to establish frameworks that ensure reproducibility, security, and compliance in AI-enabled scientific solutions.

Qualifications

• Doctorate degree (PhD) required.
• Master’s degree with 8+ years related experience.
• Bachelor’s degree with 10+ years related experience.

Responsibilities

• Establish standards for ML code, documentation, model artifacts and assets.
• Define lifecycle management, version control, release and reproducibility.
• Collaborate with scientists to validate, reproduce, maintain AI workflows.
• Manage shared repositories, assets, and documentation systems.
• Partner with technology teams to implement scalable governance and lifecycle practices.
• Align AI development with security, compliance, and enterprise expectations.
• Translate scientific requirements into operational standards for AI adoption.
• Drive reuse of AI assets across the Large Molecule Discovery organization.

Skills

AI governance

MLOps

Documentation

Stakeholder management

Project coordination

Biotech domain knowledge

ML lifecycle understanding

Education

PhD in a related field

Master's degree

Bachelor's degree

Tools

Git

CI/CD pipelines

Software development lifecycle

Job description

Sr. Scientist – AI/ML Governance & Operations (Large Molecule Discovery Informatics)

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.

What you will do

In this vital role, the LM ML Standards & Governance Specialist will play a key part in establishing the foundational standards, governance processes, and operational practices required to scale AI and machine learning capabilities across Large Molecule Discovery (LMD). This role will help ensure that machine learning assets, code repositories, documentation, data dependencies, and deployment practices are reproducible, secure, compliant, and aligned with enterprise requirements.

Working closely with AI/ML scientists, software engineers, data engineers, informatics teams, and enterprise technology partners, this individual will help define and implement governance frameworks that support the responsible development, deployment, and maintenance of AI-enabled scientific solutions. The role will serve as a bridge between scientific innovation and operational rigor, ensuring that emerging AI capabilities can be effectively maintained, audited, and scaled across research workflows.

• Establish standards for machine learning code, documentation, model artifacts, and supporting technical assets
• Define and implement best practices for model lifecycle management, version control, release management, and reproducibility
• Partner with scientists to ensure AI workflows can be validated, reproduced, and maintained over time
• Support management of shared repositories, technical assets, and documentation systems
• Collaborate with technology teams to implement scalable governance, repository, and lifecycle management practices
• Align AI development practices with enterprise security, compliance, and technology expectations
• Translate scientific requirements into operational standards that enable sustainable AI adoption
• Drive consistency and reuse of AI assets across the Large Molecule Discovery organization

Basic Qualifications

• Doctorate degree PhD
• Master’s degree and 8+ years of directly related experience
• Bachelor’s degree and 10+ years of directly related experience

Preferred Qualifications

• Experience supporting machine learning platforms, MLOps environments, or AI governance programs
• Understanding of machine learning lifecycle management and model deployment practices
• Experience implementing standards for model documentation, validation, and reproducibility
• Familiarity with source control systems, CI/CD pipelines, and software development lifecycle practices
• Experience working in biotechnology, pharmaceutical, life sciences, or research environments
• Strong organizational, documentation, and stakeholder management skills
• Ability to balance governance requirements with practical scientific needs

Benefits

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans and bi-annual company-wide shutdowns
• Flexible work models, including remote work arrangements, where possible

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.