Data Scientist
Amgen
August 18, 2026
Remote friendly (United States)
United States
IT
Data Scientist
Responsibilities:
- Collaborate with research scientists and other data scientists to develop AI and advanced analytics solutions to speed drug research and development.
- Design, write, and test data/ML pipelines and advanced analytics/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 Science policies, SOPs, and other controlled documents.
- Participate in external professional organizations, conferences, and/or meetings.
Accountabilities:
- Contribute to the implementation of internally developed and externally provided analytic solutions.
- Develop innovative approaches to solve client analytics problems and communicate results/methodologies.
- Recommend ongoing improvements to methods and algorithms that generate analytic insights.
Basic Qualifications:
- PhD OR PharmD OR MD
OR
- Master’s degree and 3 years related experience
OR
- Bachelor’s degree and 5 years related experience
Preferred Qualifications:
- MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or related quantitative field.
- Proven R/Python coding ability.
- Knowledge of ML algorithms (NNs, RF classifiers, ensemble methods, NLP, etc.) and appropriate use.
- Proficiency in Linux and shell commands.
- Experience in globally dispersed teams.
- Drug development experience (pre-, early, late, and/or observational) in industry or academic research.
- Experience with distributed compute/data (e.g., Spark, Python Dask), DevOps (e.g., Git), and cloud analytics solution deployment.
- Entrepreneurial mindset and ability to self-direct.
- Ability to communicate complex concepts to non-technical audiences.
Application Instructions:
- Apply now via careers.amgen.com.
- No application deadline; applications accepted until sufficient number received or a candidate is selected.
Responsibilities:
- Collaborate with research scientists and other data scientists to develop AI and advanced analytics solutions to speed drug research and development.
- Design, write, and test data/ML pipelines and advanced analytics/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 Science policies, SOPs, and other controlled documents.
- Participate in external professional organizations, conferences, and/or meetings.
Accountabilities:
- Contribute to the implementation of internally developed and externally provided analytic solutions.
- Develop innovative approaches to solve client analytics problems and communicate results/methodologies.
- Recommend ongoing improvements to methods and algorithms that generate analytic insights.
Basic Qualifications:
- PhD OR PharmD OR MD
OR
- Master’s degree and 3 years related experience
OR
- Bachelor’s degree and 5 years related experience
Preferred Qualifications:
- MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or related quantitative field.
- Proven R/Python coding ability.
- Knowledge of ML algorithms (NNs, RF classifiers, ensemble methods, NLP, etc.) and appropriate use.
- Proficiency in Linux and shell commands.
- Experience in globally dispersed teams.
- Drug development experience (pre-, early, late, and/or observational) in industry or academic research.
- Experience with distributed compute/data (e.g., Spark, Python Dask), DevOps (e.g., Git), and cloud analytics solution deployment.
- Entrepreneurial mindset and ability to self-direct.
- Ability to communicate complex concepts to non-technical audiences.
Application Instructions:
- Apply now via careers.amgen.com.
- No application deadline; applications accepted until sufficient number received or a candidate is selected.