AI Embedded Systems Engineer

Pfizer • Bothell, WA

3d • Hybrid

About The Position

As a member of our Transformational Technology - Data Operations team, you will accelerate our organization towards AI-readiness. In this role, you will leverage your expertise to design software and data solutions that enable the adoption of AI in Pharmaceutical Sciences (PharmSci) through the automation, digitization, and contextualization of scientific datasets.

Requirements

• BS in Biology, Chemistry, Physics, Statistics, Computer Sciences or a related technical discipline with 4+ years of experience in a software development role focused on embedded systems and/or data operations
• Master’s degree and 2+ years of experience in a software development role focused on embedded systems and/or data operations
• Recent PhD graduate in a related technical discipline.
• Experience with data handling, integration and analysis
• Strong experience with SQL and cloud data warehouses
• Experience developing data products and data integration solutions in a research or industry environment
• Experience solving complex analyses/problems in a timely fashion
• Exceptional programming skills in at least one systems language (e.g., C, C#, Java, Go) and python.
• Strong communication skills—verbal, written, and presentation
• Permanent work authorization in the United States.

Nice To Haves

• Proven expertise in software engineering, package development, cloud architectures, CI/CD and software engineering tooling
• Familiarity with pertinent libraries within the scientific Python stack
• Experience with Github Copilot or other AI-enabled coding tools that accelerate solution delivery.
• Experience taking ideas from prototype to production
• Experience in regulated industry & software validation practices

Responsibilities

• Partner with scientists to understand systems and requirements related to data capture, analysis, and reporting including digitization of current paper-based processes.
• Development of data products and custom applications to support downstream AI/ML use cases, automation, and data contextualization.
• Development of data analysis and system integration pipelines.
• Support GMP compliance activities, where applicable, for custom data products or applications.
• Onboarding of Pfizer scientists to data applications/platforms and organization of workshops/training as applicable.
• Work with robotics and automation teams to understand data needs and partner with other developers.
• Curation and integration of relevant datasets from domains external to PharmSci.
• Implementation, testing, and validation of new methods for data analysis and visualization techniques.

Benefits

• 401(k) plan with Pfizer Matching Contributions
• additional Pfizer Retirement Savings Contribution
• paid vacation, holiday and personal days
• paid caregiver/parental and medical leave
• health benefits to include medical, prescription drug, dental and vision coverage
• Relocation assistance may be available based on business needs and/or eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level