This role pays less than
60%
of similar roles. Most pay
$126,800–$196,387
— the shaded band above.
At the midpoint, this role pays about
$158k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About Amgen
Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals
Amgen currently has
46 open roles
on FindRole.
Listed pay typically runs
$136,906–$184,235
across 44 roles with salary data.
As a Data Scientist within the Center for Design & Analysis, you will design, develop, and implement scalable data engineering, machine learning, and analytics solutions to accelerate Clinical Development and advance therapies. You will collaborate with research scientists and cross-functional teams to translate business requirements into robust data pipelines, analytical tools, and visualization solutions while improving methods, algorithms, and processes. The role requires proficiency in R, Python, and Linux operating systems, along with a working understanding of machine learning algorithms such as neural networks, random forest classifiers, ensemble methods, and natural language processing. You will also utilize distributed compute technologies like Spark or Python Dask, manage code via Git, and deploy solutions in cloud environments. This role specifically addresses the technical challenges of speeding up drug research and development within the pharmaceutical domain.
What does a Data Scientist earn in California?
Median $208978 from 66 postings across 27 companies.
Design, develop, and implement scalable data engineering, machine learning, and analytics solutions for clinical development.
Build, test, and maintain robust data pipelines and advanced visualization tools.
Translate complex business requirements into technical specifications for new or enhanced analytical solutions.
Develop AI and advanced analytics solutions to accelerate drug research and development.
Train end-users on the functionality and application of provided data science tools.
Propose and implement improvements to methods, algorithms, and processes to optimize analytic insights.
Ensure all technical solutions comply with corporate quality standards and regulatory requirements.
What we're looking for
A Doctorate degree (PhD, PharmD, or MD) or a Master’s degree and 3 years of related experience.
A Bachelor’s degree and 5 years of related experience.
MS or PhD in Statistics, Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or a quantitative field (preferred).
Proven ability to write robust code in R or Python (preferred).
Working understanding of common machine learning algorithms and approaches such as NNs, RF classifiers, Ensemble methods, and NLP (preferred).
Proficiency in Linux operating system and associated shell commands (preferred).
Experience with distributed compute/data technology, DevOps frameworks like Git, and building solutions in cloud environments (preferred).
Experience in drug development or academic research and ability to communicate complex concepts to non-technical audiences (preferred).
Remote (Thousand Oaks, CA)3 days ago
$103,852–$140,505
Python
SQL
Tableau
Power BI
Databricks
AWS
Azure
Google Cloud
ETL
ELT
Machine Learning
Data Modeling
Data Governance
SAP
MES
LIMS
Veeva
Predictive Analytics