Senior Scientist – Scientific Data & ML Enablement

Amgen Inc. (IR); Hyderabad; Hybrid; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Retirement plan

Medical coverage

Disability insurance

Flexible spending accounts

Bonus program

Stock-based incentives

Time-off plans

Remote work options

Job summary

Amgen Inc. in Hyderabad seeks a Senior Scientist to enable AI-driven discovery through scalable data models and ML-ready datasets for Large Molecule discovery informatics. You will partner with scientists, AI researchers, software engineers, and data-platform teams to build robust data foundations for advanced analytics.

The role emphasizes metadata, data lineage, governance, and reusable datasets to accelerate AI-enabled drug discovery and ensure data quality across the LMD ecosystem.

Qualifications

• PhD with 5+ years of relevant experience.
• Master’s with 8+ years of directly related experience.
• Bachelor’s with 10+ years of directly related experience.
• Experience designing data models for ML-ready datasets and analytics.

Responsibilities

• Design scalable data models supporting ML, analytics and research workflows.
• Create and maintain ML-ready datasets for model training, validation and deployment.
• Translate experimental workflows into effective data structures and reusable datasets.
• Implement metadata, lineage, governance practices to improve data quality and traceability.
• Develop standardized approaches for biological, assay, sequencing, and protein engineering datasets.
• Design and optimize data transformation workflows for ML and analytics use cases.
• Support integration of data from multiple scientific systems and repositories.
• Collaborate with scientists, bioinformaticians, engineers, and AI teams to accelerate discovery.

Skills

ML data pipelines

Data modeling

Cross-functional collaboration

Biotech data familiarity

Education

PhD in a relevant field

Master's degree

Bachelor's degree

Tools

SQL

Python

Airflow

Job description

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.

Senior Scientist – Scientific Data & ML Enablement (Large Molecule Discovery Informatics)

In this vital role, you will enable AI-driven research across Large Molecule Discovery by designing, managing, and optimizing the scientific datasets that power machine learning applications. This role will focus on transforming complex biological and experimental data into reliable, reusable, and ML-ready assets that support model development, deployment, and long-term scalability. Working at the intersection of data engineering, scientific informatics, and machine learning, this individual will partner with scientists, AI/ML researchers, software engineers, and data platform teams to ensure that discovery data is structured and accessible for advanced analytics and AI applications. The successful candidate will help establish scalable data models, metadata frameworks, and transformation pipelines that improve data quality, consistency, and reuse across the LMD ecosystem. This role is ideal for someone who enjoys solving complex scientific data challenges and is passionate about building the data foundations necessary to accelerate AI-enabled drug discovery.

Core responsibilities

• Design and maintain scalable data models supporting machine learning, analytics, and scientific research workflows
• Create and maintain ML-ready datasets for model training, validation, and deployment
• Partner with scientists to translate experimental workflows into effective data structures and reusable datasets
• Implement metadata, lineage, and governance practices that improve data quality, traceability, and reuse
• Develop standardized approaches for biological, assay, sequencing, and protein engineering datasets
• Design and optimize data transformation workflows supporting machine learning and analytics use cases
• Support integration of data from multiple scientific systems and repositories
• Collaborate with scientists, bioinformaticians, engineers, and AI teams to accelerate AI-enabled discovery research

Basic qualifications

• Doctorate degree PhD with 5+ years of relevant experience
• Or Master’s degree and 8+ years of directly related experience
• Or Bachelor’s degree and 10+ years of directly related experience

Preferred qualifications

• Experience designing data models supporting scientific, analytical, or machine learning applications
• Strong proficiency in SQL, Python, and modern data engineering platforms
• Experience creating datasets for machine learning, predictive modeling, or advanced analytics
• Understanding of metadata, data lineage, governance, and reproducibility concepts
• Experience working with biotechnology, pharmaceutical, genomics, or life science datasets
• Familiarity with scientific data platforms and research informatics environments
• Strong analytical, communication, and cross-functional collaboration skills

What you can expect of us

• 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

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.

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.