Medical Analytics Data Engineer

ROLE SUMMARY

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

ROLE RESPONSIBILITIES

Develop and maintain data infrastructure

• Design, develop, optimize, and maintain data architecture and pipelines (e.g., feeding medical data sources into data lake for ongoing projects).

• Partner with product manager and data lead to developing technical architectures for analytical models.

• Identify data inputs needed to conduct analytics (e.g., claims data for unmet need analysis)

• Gather, prepares, and maintains datasets required to perform analytics.

• Oversee data systems holding in close collaboration with data mgmt. lead and ensure accurate collection, storage, and processing of data within team.

• Enhance data infrastructure for greater scalability and optimize data delivery (e.g., automating manual processes to retrieve medical data).

Support analytics development

• Solve complex data problems to deliver insights that helps the team produce the required analytics.

• Create data products for analytics and data scientist team members to improve their productivity and facilitate team collaboration.

Ensure adherence to data practices and standards

• Advise, consult, mentor and coach other data and analytic colleagues on data standards and practices.

• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.

• Lead the evaluation, implementation and deployment of emerging tools and analytic data engineering process in order to improve team productivity.

BASIC QUALIFICATIONS

• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

• Degree in Computer Sciences, Statistics, Clinical Informatics or similar.

• Bachelors degree and 6+ years experience; Masters/MBA and 5+ years experience in data engineering or similar fields, notably in the healthcare sector.

• Relevant certification &/or work experience in data engineering.

• Demonstrated effectiveness working in cross-functional business environment.

• Proven influencing skills.

• Strong interpersonal skills to quickly build rapport and credibility with Pfizer leaders and key external stakeholders.

• Ability to partner cross culturally/regionally.

• Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, promotional, patient/consumer, regulatory, and media.

• In depth understanding of the business of pharmaceutical medicine including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules/guidance, legal and compliance, issue management and business development opportunity evaluations.

• Databricks, Snowflake experience.

• Experience with Visualization tools such as Tableau.

• Programming Languages - SQL, Python, Pyspark.

• 1+ years in a client facing role for solutioning and / or evangelizing technology approaches.

Preferred Qualifications:

• Experienced building web apps and interactive visualizations that focus on data explanation and exploration.

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

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

Other Job Details

• Last day to apply: May 29, 2025

• Additional Location Information: Canada; Quebec; Kirkland, Canada; Remote, California; La Jolla, Florida; Tampa, Massachusetts; Cambridge, Pennsylvania; Collegeville, United States; Remote

• Work Location Assignment: Must be able to work from the assigned Pfizer office 2-3 days per week, or as needed by the business.

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