Sr. Data Scientist - Process Modeling

Amgen; United States; On-site; USD 150,000 - 200,000; Full time

Job summary

Amgen in the United States is seeking a Sr. Data Scientist to join the Digital Process and Systems Analysis group within Process Development.

You will help deliver data infrastructure, modeling tools, and analytics to support engineering teams across our network, enabling insights for commercialization and tech-transfer. The role emphasizes building data products for FAIR data, expanding digital process-modeling, and collaborating with multidisciplinary teams to drive improvements in technology

Qualifications

• Doctorate degree or equivalent in data science or engineering.
• Master’s degree with 2+ years of data science/engineering experience.
• Bachelor’s degree with 4 years of data science/engineering experience.
• Associate’s degree with 8 years of data science/engineering experience.
• High School diploma/GED with 10 years of data science or engineering experience.

Responsibilities

• Drive digital process modeling and data infrastructure.
• Lead data products enabling FAIR data for tech transfer.
• Collaborate with multi-disciplinary teams across Amgen network.
• Develop data pipelines and modeling assets for DST.
• Evaluate and improve digital assets and analytics.

Skills

AGILE methodologies

Databricks

Python

SQL

AI tools

BI tools

Process modeling

Data science

Cross-functional collaboration

Cloud computing

Education

PhD in engineering/science

Master's + 2 years data science/engineering

Bachelor's + 4 years data science/engineering

Associate's + 8 years data science/engineering

HS diploma + 10 years data science/engineering

Tools

Databricks

Power BI

Tableau

Spotfire

React

Python

SQL

Job description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Sr.Data Scientist - Process Modeling

What You Will Do

Let’s do this. Let’s change the world. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen’s pipeline. This group also supports key priorities and the development of strategies for digital process development for both biologic and synthetic moieties.

This position is part of a team advancing biologics drug-substance modeling and the digitization of tech-transfer workflows. As new modeling capabilities are developed and information is parameterized, opportunities abound to deploy modeling tools to enable early insights and phase-appropriate decision-making. These capabilities support drug substance development, technology transfer, manufacture, and life-cycle management across Amgen’s global network of manufacturing and development sites.

This role will contribute to the success of Drug Substance Technology organization by helping to digitize workflows to drive improvements in technology transfer timelines and ensure right-first-time success. As a Sr. Data Scientist, you will evaluate and improve Amgen’s digital assets, collaborating as part of a multi-disciplinary team of scientists and engineers on a wide range of problems. The position will lead to solutions for open-ended “no single right answer” challenges, including modeling, data pipelines, and visualizations to support drug substance development, tech transfer, and manufacturing. The Sr. Data Scientist will also be responsible for determining, defining, and tracking performance improvements.

Responsibilities:

• Leverage tech-transfer and process-modeling domain knowledge to drive implementation of digital technologies
• Digital Product Ownership of tech-transfer digital applications, focused initially on expansion of digital process-modeling for the DS network
• Change management to integrate tech transfer digital applications into product teams
• Development of data products to enable FAIR data for tech transfer/NPI
• Enable AI Agentic workflows for DST modeling assets
• Collaborate with digital product teams to build and integrate modeling assets into business processes for DST
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for Amgen products
• Make business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to varied levels of stakeholders
• Contribute to establishing a robust data science strategy by providing recommendations related to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data science

What We Expect Of You

We are all different, yet we all use our unique contributions to serve patients. The Data Scientist professional we seek is an individual with these qualifications.

Basic Qualifications

Doctorate degree

OR

Master’s degree and 2 years of Data Science or Engineering experience

OR

Bachelor’s degree and 4 years of Data Science or Engineering experience

OR

Associate’s degree and 8 years of Data Science or Engineering experience

OR

High School diploma or GED and 10 years of Data Science or Engineering experience

Preferred Qualifications

• MS degree or doctorate in an engineering or scientific field with demonstrated capability in application of data science.
• Chemical Engineering modeling, drug-substance, tech-transfer experience
• 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist)
• Experience with AGILE software development methodologies
• Experience with Databricks, coding languages (Python, SQL), AI Tools (Chat GPT, Codex, GenieCode), React, and BI tools (Spotfire/Tableau/Power BI)
• Experience in developing AI applications for process development workflows and integrating AI solutions into process development business processes
• Experience with process modeling for cell-culture, harvest,and purification scale-up