Senior Data Science Engineer

Overview

Lead the development and implementation of data pipelines, machine learning solutions, and analytic applications that support critical business and scientific decisions within Amgen's Data Science organization.

What you'll do

• Collaborate with data scientists to analyze and select appropriate data models and algorithms that improve clinical trials across multiple therapeutic areas, leveraging diverse data.
• Design, write, and test data AI / ML pipelines and other advanced analytic / visualization solutions.
• Collect business requirements / user stories for new or enhanced analytic solutions.
• Train users in the use of solutions provided by the CfDA Data Science organization.
• Contribute to process improvement initiatives.
• Adhere to Amgen Policies, SOPs, and other controlled documents.
• Participate in the development and review of CfDA Data Sciences Policies, SOPs, and other controlled documents.
• Participate in external professional organizations, conferences and/or meetings.
• Contribute to the implementation of internally developed and externally provided analytic solutions.
• Participate in developing innovative and effective approaches to solve clients' analytics problems and communicate results and methodologies.
• Recommend ongoing improvements to methods and algorithms that generate analytic insights.

What you'll need

• Bachelor's in Computer Science, Data Science, Informatics, Statistics, Mathematics, Life Sciences, or 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.

Nice to have

• MS or PhD in Computer Science, Data Science, Informatics, Statistics, Mathematics, Life Sciences, or 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) experience in related industries or academic research.
• Experience working with distributed compute / data technology (e.g., Spark, Python Dask).
• Experience with DevOps frameworks (e.g., Git).
• Experience 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.

Details

• Location: Amgen India, Hyderabad.