This role pays less than
59%
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
45 open roles
on FindRole.
Listed pay typically runs
$136,906–$185,227
across 43 roles with salary data.
Sr. Data Scientist - Process Modeling joins the Digital Process and Systems Analysis group within Process Development to provide data infrastructure and analytics for engineering teams. This role focuses on advancing biologics drug-substance modeling, digitizing tech-transfer workflows, and creating data products that ensure FAIR data standards. The successful candidate will develop data pipelines, visualizations, and AI Agentic workflows while collaborating with multi-disciplinary teams to solve complex problems in manufacturing and lifecycle management. Key responsibilities include performing cost-benefit analyses, managing digital product ownership, and implementing change management for technical applications. Required skills include proficiency in Python, SQL, Databricks, React, and BI tools like Spotfire or Tableau. The role addresses the critical business problem of optimizing drug substance development and improving tech-transfer timelines through advanced modeling for cell-culture, harvest, and purification scale-up processes within a biotechnology environment.
What does a Data Scientist earn in Remote?
Median $213756 from 40 postings across 18 companies.
Implement digital technologies to improve tech-transfer processes and drug substance modeling.
Act as the Digital Product Owner for tech-transfer applications and process-modeling tools.
Develop data products that ensure FAIR data standards for new product introductions.
Enable AI Agentic workflows for drug substance technology modeling assets.
Build and integrate modeling assets into business processes through cross-functional collaboration.
Provide business recommendations including cost-benefit analysis, forecasting, and scenario modeling to stakeholders.
Establish a data science strategy for process monitoring, data engineering, and analytic platforms.
What we're looking for
A Doctorate degree, or a Master's with 2 years of experience, or a Bachelor's with 4 years of experience, or an Associate's with 8 years of experience, or a High School diploma with 10 years of experience.
Experience in Data Science or Engineering is required based on the level of education held.
MS degree or doctorate in an engineering or scientific field with demonstrated capability in application of data science (preferred).
Chemical Engineering modeling, drug-substance, and tech-transfer experience (preferred).
3+ years of work experience in a biotechnology role such as process engineer, scientist, or data scientist (preferred).
Experience with AGILE software development methodologies (preferred).
Experience with Databricks, Python, SQL, AI tools, React, and BI tools like Spotfire, Tableau, or Power BI (preferred).
Experience in developing AI applications for process development workflows and integrating them into business processes (preferred).
Remote (Holly Springs, NC)13 days ago
$110,038–$148,875
AI
Generative AI
Power BI
Tableau
Spotfire
Databricks
Agile
GxP
data, analytics
Business Process Mapping
User Stories
UAT
Cybersecurity
Data Integrity
Workflow Automation