Medical Analytics Data Engineer

Pfizer is a global biopharmaceutical company, and they are seeking a Medical Analytics Data Engineer to develop data infrastructure for their data scientists. The role involves maintaining data architecture, supporting analytics development, and ensuring adherence to data practices and standards.

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 develop 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)
• 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
• 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

Requirements:

• 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
• Relevant certification &/or work experience in data engineering
• BA/BS degree with 6+ years experience in data engineering, notably in the healthcare sector or 5+ years of experience with MBA/MS
• 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
• Infrastructure as code, data warehousing, Apache Airflow, Kafka or similar streaming data engineering tools
• Databricks, DSS Data Science Studio (Dataiku) experience
• Understanding of taxonomy structures and hierarchy
• Plan and implement methods including Tag Management Solutions like Tealium iQ(primarily), GTM, Adobe Launch, Dynamic Tag Manager, Ensighten
• Understand and use multitude of tag managers and writing JavaScript code
• Marketing Performance analysis i.e. data aggregation (leveraging marketing & click-stream API's, data cleaning & transformation)
• Understanding of digital analytics specially Clickstream Data, Adobe and/or Google Analytics, Drupal platforms
• Knowledge on Adobe Analytics, Google Analytics, /Omniture SiteCatalyst, Matomo/Piwik
• Tag Managers – Tealium IQ, Adobe Launch/DTM, Google Tag Manager, Piwik Pro, Signal/Bright Tag. tags and tag debugging tools like Charles Proxy
• Programming Languages - JavaScript, jQuery
• 1+ years in a client facing role for solutioning and / or evangelizing technology approaches
• Markup Languages - HTML, CS
• Optimization Platform – Adobe Target, Google Optimize, Optimizely
• Experienced building web apps and interactive visualizations that focus on data explanation and exploration. You have experience with front-end JavaScript and Node.js. You have experience working with visualization libraries, plus a component framework like React or Vue
• Experience with Data Studio and Adobe Report Builder