AI Embedded Systems Engineer
Pfizer
15 days ago
Remote friendly (Chesterfield, MO)
United States
IT
Position Responsibilities:
- Partner with scientists to understand data capture, analysis, reporting requirements, including digitizing paper-based processes.
- Develop data products and custom applications to support downstream AI/ML use cases, automation, and data contextualization.
- Build data analysis and system integration pipelines.
- Support GMP compliance activities for custom data products/applications, where applicable.
- Onboard Pfizer scientists to data applications/platforms and organize workshops/training as needed.
- Collaborate with robotics and automation teams to define data needs.
- Curate and integrate datasets from external domains to PharmSci.
- Implement, test, and validate new methods for data analysis and visualization.
Basic Qualifications:
- BS in Biology, Chemistry, Physics, Statistics, Computer Science, or related technical field with 4+ years in software development focused on embedded systems and/or data operations.
- Master’s degree with 2+ years in the same.
- Recent PhD graduate in a related technical discipline.
- Experience with data handling, integration, and analysis.
- Strong SQL experience and cloud data warehouses.
- Experience developing data products and data integration solutions (research or industry).
- Ability to solve complex analyses/problems in a timely fashion.
- Exceptional programming in at least one systems language (C, C#, Java, Go) and Python.
- Strong verbal, written, and presentation communication.
Preferred Qualifications:
- Software engineering/package development, cloud architectures, CI/CD, and tooling.
- Scientific Python stack libraries; GitHub Copilot/AI-enabled coding tools.
- Taking ideas from prototype to production; regulated industry & software validation practices.
Work/Travel:
- Hybrid; onsite ~2.5 days/week on average. Travel <10% to other sites.
Benefits (high level):
- 401(k) with company match, retirement savings contribution, paid vacation/holidays/personal days, caregiver/parental and medical leave, and health benefits (medical, dental, vision).
- Partner with scientists to understand data capture, analysis, reporting requirements, including digitizing paper-based processes.
- Develop data products and custom applications to support downstream AI/ML use cases, automation, and data contextualization.
- Build data analysis and system integration pipelines.
- Support GMP compliance activities for custom data products/applications, where applicable.
- Onboard Pfizer scientists to data applications/platforms and organize workshops/training as needed.
- Collaborate with robotics and automation teams to define data needs.
- Curate and integrate datasets from external domains to PharmSci.
- Implement, test, and validate new methods for data analysis and visualization.
Basic Qualifications:
- BS in Biology, Chemistry, Physics, Statistics, Computer Science, or related technical field with 4+ years in software development focused on embedded systems and/or data operations.
- Master’s degree with 2+ years in the same.
- Recent PhD graduate in a related technical discipline.
- Experience with data handling, integration, and analysis.
- Strong SQL experience and cloud data warehouses.
- Experience developing data products and data integration solutions (research or industry).
- Ability to solve complex analyses/problems in a timely fashion.
- Exceptional programming in at least one systems language (C, C#, Java, Go) and Python.
- Strong verbal, written, and presentation communication.
Preferred Qualifications:
- Software engineering/package development, cloud architectures, CI/CD, and tooling.
- Scientific Python stack libraries; GitHub Copilot/AI-enabled coding tools.
- Taking ideas from prototype to production; regulated industry & software validation practices.
Work/Travel:
- Hybrid; onsite ~2.5 days/week on average. Travel <10% to other sites.
Benefits (high level):
- 401(k) with company match, retirement savings contribution, paid vacation/holidays/personal days, caregiver/parental and medical leave, and health benefits (medical, dental, vision).