Systems Engineer III

Waltham, MA, US • Posted 14 hours ago • Updated 14 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Systems Engineering
RNA
Artificial Intelligence
Computer Science
Data Science
Pharmaceutics
Biotechnology
Life Sciences
Science
Workflow
Software Engineering
Open Source
Data Engineering
Fluency
French
Collaboration
Research and Development
Crystal Management Console
Agile
Python
GitHub
Continuous Integration
Kubernetes
Orchestration
Git
Continuous Delivery
Web Development
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud

Summary

Responsibilities:

Production AI will join the mRNA Systems Engineering team to design, build, and operate production grade systems based on AI and machine learning and that accelerate mRNA vaccine research and development.
Working in a highly agile, cross functional environment at the interface of software engineering, AI/ML, and pharmaceutical sciences, the role contributes to build scalable digital products that bring predictive models into production and empower scientific users across Vaccines R&D.

Requirements:

Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or a related field. MS and PHD accepted / Over 5 years of exp accepted.
Experience in pharmaceutical, biotechnology, or life sciences environments.
wareness of drug discovery, vaccine development, or experimental sciences.
Experience with workflow orchestration tools such as Meta flow. Some knowledge in orchestration frameworks, preferred in Meta flow, frameworks, operation.
I assisted software engineering experience.
gent's skills dedicated format, write small passages for skills.
Contributions to open source or technical communities.
Experience designing scalable data engineering solutions.
Fluency in French would be a BIG PLUS.

Must have skills:

Strong cross functional collaboration across Vaccines R&D, Digital, and CMC.
Strong experience working in agile environments with a customer-oriented mindset.
Proven experience deploying and operating applications in production.
Python programming skills. GitHub Actions and CI/CD pipeline implementation.
Kubernetes based container orchestration.
Git Ops practices (Argo CD or equivalent). Dev Ops, automation.
Production deployment of machine learning models and MLOps practices.
PI and/or web application development.
Production deployment of machine learning models and MLOps practices.
Familiarity with major cloud platforms (AWS, Azure, or Google Cloud Platform) Preferred.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91116760
Position Id: 168734f46ebc370b9b94e6408b7a8616
Posted 14 hours ago

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Systems Engineer III

Dice Job Match Score™

Job Details

Skills

Summary

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