Participate in external professional organizations, conferences and/or meetings.
Accountabilities
Contribute to the implementation of internally developed and externally provided analytic solutions
Participate in the development of innovative and effective approaches to solve client's analytics problems and communicate results & methodologies
Recommend ongoing improvements to methods and algorithms that generate analytic insights
This position is currently located at Amgen India (Hyderabad).
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a strategic Data Science leader with a passion for tech-enabled transformation.
Basic Qualifications
Bachelors 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 advance 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 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
.