Senior Associate, Data Engineer – AI and Automation
ROLE SUMMARY
Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world.
ROLE SUMMARY
Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.
ROLE RESPONSIBILITIES
Responsible for data modeling and engineering within the advanced data platforms teams to achieve digital outcomes. Create test plans, test scripts, and perform data validation.
Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.
Develop complex data products that are beneficial for PGS and Allow for reusability across enterprise.
Ability to collaborate with contractors to deliver technical enhancements.
Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.
Develop internal APIs and data solutions to enhance application functionality and facilitate connectivity.
Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.
Conduct root cause analysis and address production data issues.
Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.
Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.
Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.
Document and present findings, methodologies, and project outcomes to various stakeholders.
Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.
Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection.
BASIC QUALIFICATIONS
A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.
Over 2 years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.
Over 1 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.
Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.
Strong understanding of data structures, algorithms, and software design principles
Programming Languages: Experience in Python, SQL, and familiarity with Java or Scala.
Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.
PREFERRED QUALIFICATIONS
Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.
ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.
Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.
AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices
Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.
Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.
Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.
Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.
Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.
Work Location Assignment: Hybrid
Relocation assistance may be available based on business needs and/or eligibility.
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.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Are you ready to be a part of something truly transformative? Pfizer is on the lookout for a Senior Associate, Data Engineer – AI and Automation to join our innovative team in New York City. In this role, you'll be at the forefront of developing and implementing cutting-edge artificial intelligence models and algorithms that drive efficiency and innovation in our Data Analytics and Supply Chain solutions. You’ll collaborate closely with various technical teams to create complex data products, aimed at improving patient outcomes through advanced technology. If you have a background in computer science, AI, or machine learning and are motivated by the potential to make a real difference, you’ll find this role offers you the opportunity to lead AI-driven initiatives that can reshape our healthcare solutions. Additionally, your expertise in data modeling, engineering, and proficiency in languages like Python and SQL will play a crucial part in delivering exceptional results. You will also engage in developing automated ETL data pipelines, enhance existing applications through internal APIs, and keep pace with the latest developments in AI technology. Your contributions will not only support Pfizer's mission but also potentially improve the lives of patients worldwide. Join us in delivering breakthroughs that matter!
Join Pfizer in redefining user experiences as the Manager of Value Insights & Design Strategy, focusing on data-driven design solutions.
We are looking for a Tender Senior Associate at Pfizer who can expertly navigate tender processes and enhance our pharmaceutical contracting business.
Join McKesson as a Lead Optimization Audit Specialist, where your expertise will ensure the integrity of auditing and governance initiatives within the healthcare industry.
Become a vital part of Linx's Services team as a Junior Database Analyst, helping to ensure seamless client system implementations.
Join a dynamic team as a Summer Intern and contribute to the creation of an innovative reporting and data visualization platform.
As a Customer Master Data Analyst at AbbVie, you will enhance data management practices ensuring compliance across various regions.
Guidehouse is looking for a certified Oncology Data Specialist to manage cancer registry data while ensuring compliance and quality improvement.
Breakthroughs that change patients' lives.
134 jobs
Subscribe to Rise newsletter
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
Sign up for our weekly
newsletter of fresh jobs
