Pharma Applications Engineer
$120,000–$160,000 year
On-site · Washington, District of Columbia, United States or El Segundo, California, United States
Job Summary
Pharma Applications Engineer responsible for leading efforts to develop, deploy, improve, and manage Pharma applications across the product lifecycle. Collaborates cross-functionally to enhance processes, deliver analytics dashboards (Power BI, SQL, Python), automate data tasks, ensure data integrity and GxP/FDA 21 CFR Part 11 compliance, and support enterprise platforms (ERP, CRM, ELN/LIMS/QMS). Includes desktop support, vendor coordination, user enablement, AI tool evaluation, data governance, and reporting to pharma leadership from the El Segundo headquarters. On-site role with direct impact on pharmaceutical data systems, analytics, and workflow automation.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical field
- 3+ years of experience supporting or managing enterprise applications (ERP, CRM, QMS, or LIMS) in a pharma-regulated or compliance-driven environment
- Ability to gather business requirements from stakeholders and take a project from initial concept to finished product
- Ability to work with end users to rapidly iterate prototype applications by solving end-user issues
- Hands-on experience with business process mapping and re-engineering using structured methodologies
- Ability to work independently as the sole technical resource within a business unit, managing competing priorities without day-to-day technical oversight
- Ability to translate technical concepts to non-technical audiences for stakeholders, internal and external to the organization
- Proficiency in SQL and at least one scripting/programming language (Python, JavaScript, or similar)
- Demonstrated experience building reports and dashboards in a BI platform (Power BI, Tableau, or equivalent)
- Familiarity with regulated industry data domains and willingness to develop deep expertise in pharmaceutical data standards and workflows
- Familiarity with data integration patterns (ETL/ELT) and tools such as Alteryx, dbt, SSIS, or Informatica
- Strong written and verbal communication skills with the ability to produce system design documentation, SOPs, and training materials for non-technical pharma stakeholders
- Familiarity with AI/ML concepts and hands-on experience using LLM-based tools in a professional setting
- Familiarity with version control systems (Git) and software development lifecycle fundamentals, including code review and CI/CD practices
- Graduate degree in Computer Science, Information Systems, or related fields
- 5+ years of experience (preferred)
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