AI Embedded Systems Engineer
Pfizer
16 days ago
Remote friendly (Bothell, WA)
United States
IT
Position Responsibilities:
- Partner with scientists to understand data capture, analysis, and reporting needs, including digitizing paper-based processes.
- Develop data products and custom applications to enable 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; organize workshops/training as needed.
- Collaborate with robotics/automation teams to define data needs.
- Curate and integrate datasets from domains external to PharmSci.
- Implement, test, and validate new methods for data analysis and visualization.
Basic Qualifications:
- BS (Biology/Chemistry/Physics/Statistics/Computer Science or related) + 4+ years in software development focused on embedded systems and/or data operations.
- OR Master’s + 2+ years in similar roles.
- Recent PhD graduate in a related technical discipline.
- Experience with data handling, integration, and analysis.
- Strong SQL and cloud data warehouse experience.
- Experience developing data products/integration solutions in research or industry.
- Ability to solve complex problems in a timely manner.
- Exceptional programming in a systems language (C/C#/Java/Go) and Python.
- Strong verbal/written/presentation communication.
Preferred Qualifications:
- Software engineering/package development; cloud architectures; CI/CD and tooling.
- Scientific Python stack libraries.
- Github Copilot or AI-enabled coding tools.
- Prototype to production experience.
- Regulated industry & software validation practices.
Work/Logistics:
- Hybrid; on-site ~2.5 days/week (plus as needed). Travel to other PharmSci sites <10%.
Compensation/Benefits:
- Base salary range: $106,000–$176,600; bonus target 15% of base; 401(k) with matching; additional retirement contribution; paid vacation/holiday/personal days; paid caregiver/parental and medical leave; medical/dental/vision coverage.
- Partner with scientists to understand data capture, analysis, and reporting needs, including digitizing paper-based processes.
- Develop data products and custom applications to enable 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; organize workshops/training as needed.
- Collaborate with robotics/automation teams to define data needs.
- Curate and integrate datasets from domains external to PharmSci.
- Implement, test, and validate new methods for data analysis and visualization.
Basic Qualifications:
- BS (Biology/Chemistry/Physics/Statistics/Computer Science or related) + 4+ years in software development focused on embedded systems and/or data operations.
- OR Master’s + 2+ years in similar roles.
- Recent PhD graduate in a related technical discipline.
- Experience with data handling, integration, and analysis.
- Strong SQL and cloud data warehouse experience.
- Experience developing data products/integration solutions in research or industry.
- Ability to solve complex problems in a timely manner.
- Exceptional programming in a systems language (C/C#/Java/Go) and Python.
- Strong verbal/written/presentation communication.
Preferred Qualifications:
- Software engineering/package development; cloud architectures; CI/CD and tooling.
- Scientific Python stack libraries.
- Github Copilot or AI-enabled coding tools.
- Prototype to production experience.
- Regulated industry & software validation practices.
Work/Logistics:
- Hybrid; on-site ~2.5 days/week (plus as needed). Travel to other PharmSci sites <10%.
Compensation/Benefits:
- Base salary range: $106,000–$176,600; bonus target 15% of base; 401(k) with matching; additional retirement contribution; paid vacation/holiday/personal days; paid caregiver/parental and medical leave; medical/dental/vision coverage.