Medical Analytics Data Engineer

Pfizer; Pennsylvania; Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading company in the healthcare sector is seeking a Medical Analytics Data Engineer to develop data infrastructure and support analytics production. The role involves designing data architecture, collaborating with product managers, and ensuring adherence to data practices. Candidates should possess strong leadership and communication skills, along with a relevant degree and extensive experience in data engineering.

Qualifications

• Bachelor's + 6+ years or Master’s + 5+ years in data engineering.
• Experience working cross-functionally and influencing stakeholders.

Responsibilities

• Design, develop, optimize, and maintain data architecture and pipelines.
• Gather, prepare, and maintain datasets required for analytics.
• Advise and mentor colleagues on data standards and practices.

Skills

Leadership

Collaboration

Communication

Education

Degree in Computer Science

Degree in Statistics

Degree in Clinical Informatics

Tools

Databricks

Snowflake

Tableau

SQL

Python

Pyspark

Job description

Join to apply for the Medical Analytics Data Engineer role at Pfizer.

Role Summary
Develop data infrastructure for data scientists and ensure appropriate and efficient development of care gap and HCP prioritization models.

Role Responsibilities

1. Design, develop, optimize, and maintain data architecture and pipelines (e.g., feeding medical data sources into data lake for ongoing projects).
2. Partner with product managers and data leads to develop technical architectures for analytical models.
3. Identify data inputs needed for analytics (e.g., claims data for unmet need analysis).
4. Gather, prepare, and maintain datasets required for analytics.
5. Oversee data systems in collaboration with data management leads, ensuring accurate data collection, storage, and processing.
6. Enhance data infrastructure for scalability and optimize data delivery, including automating manual data retrieval processes.

Support analytics development

• Solve complex data problems to deliver insights and support analytics production.
• Create data products to improve team productivity and collaboration.

Ensure adherence to data practices and standards

• Advise and mentor colleagues on data standards and practices.
• Promote a culture of data sharing, re-use, and operational efficiency.
• Lead evaluation and deployment of new tools and processes to improve team productivity.

Basic Qualifications

• Demonstrated leadership, influence, and collaboration skills.
• Degree in Computer Science, Statistics, Clinical Informatics, or related field.
• Bachelor's + 6+ years or Master’s + 5+ years in data engineering, preferably in healthcare.
• Relevant certifications or experience.
• Experience working cross-functionally and influencing stakeholders.
• Strong interpersonal and communication skills.
• Understanding of pharmaceutical business processes.
• Experience with Databricks, Snowflake, Tableau, SQL, Python, Pyspark.
• At least 1 year in a client-facing technical role.

Preferred Qualifications

• Experience building web apps and interactive visualizations for data explanation and exploration.

Additional Details

• Travel up to 40% may be required.
• Location options include various U.S. and Canadian sites, with remote work possible.
• Work from Pfizer office 2-3 days/week.

The salary range varies by location, with comprehensive benefits and bonus opportunities. Relocation assistance may be available. For more details, visit Pfizer's benefits site.

Pfizer is an equal opportunity employer committed to diversity and inclusion. Applicants must have legal work authorization in the U.S.