Senior Data Scientist

Amgen
Madison, WI, United States
about 1 month ago
Apply on www.biospace.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

3d Models Artificial Intelligence Amazon Web Services Cloud Computing Computer Programming Continuous Integration Information Engineering Data Visualization DevOps Python (Programming Language) Machine Learning Software Engineering
+10 more
Digital Twin Data Storage Technologies Test-Driven Development (TDD) Model Validation Git Data Analytics Spotfire Software Version Control Data Pipelines Databricks

Job description

In this vital role you will be responsible for developing, maintaining, and deploying first principles and/or machine learning models for biopharmaceutical processes, including but not limited to, cell culture, biologics formulation development, and fill/finish processes. You will be responsible for model design, selection of underlying technologies and infrastructure, and ensuring successful application of models in Process Development.

The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging crossfunctional projects. Fundamental understanding of bioprocesses as well as first principles (i.e., transport phenomena, fluid mechanics, reaction kinetics) is preferred. The candidate will be part of cross-functional project teams with frequent interactions with Amgens SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for use by engineers and scientists.

  • Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.
  • Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.
  • Build and maintain robust data pipelines and agentic workflows to streamline the effort required to generate impact-level insights.
  • Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and ensure seamless model integration into process development workflows.
  • Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.

Requirements

  • High school diploma / GED and 10 years of Data Sciences experience OR
  • Associates degree and 8 years of Data Sciences experience OR
  • Bachelors degree and 4 years of Data Sciences experience OR
  • Masters degree and 2 years of Data Sciences experience OR
  • Doctorate degree, * Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field
  • Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics, reaction kinetics)
  • Experience in applying AI and ML algorithms to produce data-driven solutions to engineering problems
  • Track record of leading modeling and data science projects
  • 3+ yrs of coding experience in Python
  • Understanding of biopharmaceuticals process and related unit operations
  • Experience using Git for version control
  • Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)
  • Experience with data engineering & visualization tools (e.g., Databricks, Spotfire) as well as cloud computing and data storage systems such as AWS
  • Experience leveraging AI tools to generate agentic solutions for scientific workflows
  • Independent, selfmotivated, organized, and able to multitask in timesensitive environments
  • Excellent communication skills (written and verbal)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Benefits & conditions

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • 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, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

About the company

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, youll 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, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career., As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease., We are all different, yet we have this in common: our mission to serve patients. This sense of shared purpose is key to our becoming one of the world’s leading biotechnology companies. It guides us as we continue to launch new medicines and reach millions of patients worldwide.

We live the mission.

We win together.

We thrive on continual challenge.

Our team of 22,000+ scientists and professionals worldwide bring distinct perspectives and experiences to all we do. We leverage our global talent to achieve together-to research, manufacture and deliver ever-better products and greater depth to our mission.

At Amgen, there is a strong correlation between our high level of diversity and performance. Because addressing issues with a wider range of perspectives and approaches leads to more creative problem-solving. Together, we’re transforming the promise of science and biotechnology into therapies that have the power to restore health.

Connect with us to explore how you can Win, Live, and Thrive at Amgen.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.biospace.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:30 min

Approaching data problems with an engineering and strategy mindset

Becky Gandillon · LIVE

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all