Medical Analytics Data Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Design and maintain the data infrastructure, architecture, and pipelines for medical analytics.

• Integrate medical data sources into data lakes for ongoing initiatives.

• Collaborate with product managers and data leads to establish technical architectures for analytical models.

• Identify necessary data inputs for analytics, including claims data for unmet-need analysis.

• Collect, prepare, and sustain datasets essential for analytics.

• Manage data systems in conjunction with the data management lead.

• Ensure precise collection, storage, and processing of data.

• Improve infrastructure scalability and optimize data delivery by automating manual processes.

• Resolve complex data issues to provide insights and support required analytics.

• Develop data products that enhance data scientist productivity and foster team collaboration.

• Guide, consult, mentor, and coach colleagues in data and analytics on standards and best practices.

• Promote reusable, scalable design, stability, and operational efficiency of data and analytics solutions.

• Lead the assessment, implementation, and rollout of new tools and analytic data engineering processes.

• Travel as required, up to 40% of the role.

⛳️ Requirements

• Bachelor’s degree in Computer Sciences, Statistics, Clinical Informatics, or a related field.

• Relevant certification and/or professional experience in data engineering.

• BA/BS degree with over 6 years of data engineering experience, particularly in healthcare, or 5+ years of experience with an MBA/MS.

• Proven effectiveness in a cross-functional business environment.

• Demonstrated influencing abilities.

• Strong interpersonal skills with the capability to build relationships with Pfizer leaders and external stakeholders.

• Ability to collaborate across cultures and regions.

• Proficient in English, both verbally and in writing.

• Comprehensive understanding of pharmaceutical medicine, including clinical trial design, GCP and data interpretation, drug development, regulatory guidelines, compliance, and business development evaluations.

• Familiarity with infrastructure as code, data warehousing, Apache Airflow, Kafka, or similar streaming data engineering tools.

• Experience with Databricks and DSS Data Science Studio (Dataiku).

• Knowledge of taxonomy structures and hierarchies.

• Experience with tag management solutions such as Tealium iQ, GTM, Adobe Launch, Dynamic Tag Manager, or Ensighten.

• Ability to utilize tag managers and write JavaScript code.

• Experience in marketing performance analysis using marketing and click-stream APIs, along with data aggregation, cleaning, and transformation.

• Understanding of digital analytics, clickstream data, Adobe and/or Google Analytics, and Drupal platforms.

• Familiarity with Adobe Analytics, Google Analytics/Omniture SiteCatalyst, Matomo/Piwik, Tealium IQ, Adobe Launch/DTM, Google Tag Manager, Piwik Pro, Signal/Bright Tag, and tag debugging tools such as Charles Proxy.

• Proficient in programming languages: JavaScript, jQuery.

• At least one year in a client-facing role for solution development and/or promoting technology approaches.

• Knowledge of markup languages: HTML, CSS.

• Candidates must have authorization to be employed in the U.S. by any employer.

• Permanent work authorization in the United States is required.

• U.S. work visa sponsorship is not available now or in the future.

🏝️ Benefits

• Participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary.

• Eligibility to join Pfizer’s share-based long-term incentive program.

• 401(k) plan with Pfizer Matching Contributions.

• Additional Pfizer Retirement Savings Contribution.

• Paid vacation.

• Paid holidays and personal days.

• Paid caregiver/parental and medical leave.

• Comprehensive medical, prescription drug, dental, and vision coverage.

• Relocation assistance may be available based on business needs and/or eligibility.