Pfizer
PHARMACEUTICAL
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LocationNEW YORK, NY
Employees88,000
Open Jobs522
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AI Embedded Systems Engineer
Pfizer
This listing was originally posted on Pfizer's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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Upgrade to Pro — $25/moPOSITION SUMMARY
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.
POSITION 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
BASIC QUALIFICATIONS
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
PREFERRED QUALIFICATIONS
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
This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week or more as needed.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
May require travel to other PharmSci sites from time to time (< 10%)
Work Location Assignment: Hybrid
Relocation assistance may be available based on business needs and/or eligibility.
Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
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