Data Scientist

Summary

Amgen is a biotechnology company focused on researching, manufacturing, and delivering innovative medicines for patients with serious illnesses. The Data Scientist will design and implement scalable data engineering, machine learning, analytics, and visualization solutions to support Clinical Development and accelerate drug research. The role partners with data scientists and cross-functional teams to translate business requirements into reliable, compliant analytical tools and pipelines.

Responsibilities

• Collaborating with research scientist and other data scientists to develop AI and advanced analytics solution to speed drug research and development
• Designing, writing, and testing data / ML pipelines and other advanced analytic / visualization solutions
• Collect business requirements / user stories for new or enhancements to existing 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 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

Skills

• Ph.D. degree
• OR
• Master's degree 2 years of related experience
• MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related 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
• 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

Qualifications

Must Haves

• Ph.D. degree
• OR
• Master's degree 2 years of related experience

Nice to Haves

• MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related 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
• 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

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
• Group medical, dental and vision coverage
• Life and disability insurance
• Flexible spending accounts
• A discretionary annual bonus program
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible
• Career development opportunities