Senior Data Science Engineer
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Job description
About the Position
Senior Data Science Engineer
India - Hyderabad
JOB ID: R-258660
LOCATION: India - Hyderabad
WORK LOCATION TYPE: On Site
DATE POSTED: Oct. 16, 2026
CATEGORY: Clinical
Amgen is expanding its global Data Science capabilities, with Amgen India (AIN) playing a key role in integrated delivery and functional leadership. As a Senior Data Science Engineer, you will lead the development and implementation of data pipelines, machine learning solutions, and analytic applications that support critical business and scientific decisions. This role combines technical expertise with cross-functional collaboration to deliver high-quality, scalable solutions, enhance user adoption, and advance engineering best practices across the organization.
Responsibilities
- Collaborating with data scientists to analyze and select appropriate data models and algorithms that focus on improving clinical trials across multiple therapeutic areas leveraging diverse data.
- Designing, writing, and testing data AI / ML pipelines and other advanced analytic / visualization solutions.
- Collecting business requirements / user stories for new or enhancements to existing analytic solutions.
- Training users in the use of solutions provided by the CfDA Data Science organization.
- Contributing to process improvement initiatives.
- Adhering to Amgen Policies, SOPs, and other controlled documents.
- Participating in the development and review of CfDA Data Sciences Policies, SOPs, and other controlled documents.
- Participating in external professional organizations, conferences, and/or meetings.
Accountabilities
- Contributing to the implementation of internally developed and externally provided analytic solutions.
- Participating in the development of innovative and effective approaches to solve client's analytics problems and communicate results & methodologies.
- Recommending ongoing improvements to methods and algorithms that generate analytic insights.
Requirements
Basic Qualifications
- Bachelor's degree in Computer Science, Data Science, Informatics, Statistics, Mathematics, Life Sciences, or a similar field.
- 8 to 13 years of experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist.
- Experience developing production quality advanced analytic solutions.
- An understanding of data structures, data modeling, and software architecture.
Preferred Skills
- MS or PhD in Computer Science, Data Science, Informatics, Statistics, Mathematics, Life Sciences, or a similar field.
- A proven ability to write robust code in R / Python.
- A working understanding of common machine learning algorithms and approaches (NNs, RF classifiers, Ensemble methods, NLP, etc.) and when to use them.
- Proficiency in Linux operating system and associated shell commands.
- Experience working effectively in a globally dispersed team environment.
- A working knowledge of one or more relevant industry data standards (e.g., CDISC SDTM, CDISC ADaM, HL7 BRIDG, OMOP).
- Drug Development (pre-, early, late, and/or observational) in related industries or academic research.
- Experience working with:
- Distributed compute / data technology (e.g., Spark, Python Dask).
- DevOps frameworks (e.g., Git).
- Building and deploying analytic solutions in a cloud environment.
- Entrepreneurial mindset with ability to self-direct.
- A translator able to communicate complex concepts to a non-technical audience.
We Offer
- Competitive salary.
- Opportunity to work in a leading biotech company.
- Professional development opportunities.
About the Company
Amgen is a global biotechnology company with a mission to serve patients and transform lives. We are committed to driving innovation in the field of science and technology to improve patient outcomes. Join us in our mission to change the world.
Attention Job Applicants: At Amgen, we are relentless in applying the highest ethical standards to our products, services, and communications. Consistent with this, we expect all job applicants to act with honesty and integrity. Providing any false or misleading information, or omitting material information during the hiring process, may result in immediate disqualification from the hiring process or termination if already employed. We appreciate your cooperation in helping us uphold these standards.
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