Note: The job is a remote job and is open to candidates in USA. Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. They are seeking a Medical Analytics Data Engineer to develop data infrastructure for data scientists and ensure efficient development of care gaps and HCP prioritization models.
Responsibilities
- 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
Skills
- 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
Benefits
- Eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary
- Eligibility to participate in our share based long term incentive program
- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation
- Holiday and personal days
- Paid caregiver/parental and medical leave
- Health benefits to include medical, prescription drug, dental and vision coverage
- Relocation assistance may be available based on business needs and/or eligibility.
Company Overview