Analyst - Data Engineer

Agentic AI & Agent Systems Engineering

Governance, Security & Compliance

Collaboration & Enablement

Essential Skills/Experience:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
• Experience: 3–6+ years in MLOps, Data Engineering, or ML Platform roles with a proven track record of deploying ML solutions at scale. At least 2+ years building complex data science or large-scale analytics solutions.
• Programming: Proficiency in Python and SQL; familiarity with TypeScript/JavaScript or a systems language (Go, Rust). Experience with TDD, CI/CD pipelines, and code quality standards.
• CI/CD & Infrastructure: Experience with CI/CD tools (e.g., GitHub Actions, Azure DevOps), containerization (Docker), and cloud infrastructure concepts.
• ML Tools: Hands-on experience with model packaging and serving frameworks (e.g., SageMaker, Databricks MLflow), experiment tracking, and model registry tools.
• Data Technologies: Proficiency with Snowflake (including Snowpark and Snowpark Container Services), distributed processing (Spark), and data orchestration (Airflow).
• AI/Agent Tools: Hands-on experience with AI coding tools (Claude Code, GitHub Copilot, Cursor, or equivalent) and Cortex AI or comparable LLM serving platforms. Working understanding of how LLMs reason about code and familiarity with prompt engineering as an engineering discipline.
• Security & Compliance: Understanding of data privacy and security in healthcare; experience with secrets management, audit controls, and compliance frameworks (HIPAA, SOC2, 21 CFR Part 11).
• Systems Thinking: Ability to design for how components interact at scale across both traditional ML infrastructure and agentic AI architectures.

Desirable Skills/Experience:

• Domain Experience: Knowledge of pharmaceutical commercial analytics in rare disease or specialty pharma — HCP/HCO targeting, patient identification, call planning, demand forecasting, specialty pharmacy data, hub/PSP operations, and omnichannel measurement.
• Rare Disease Data Proficiency: Experience with IQVIA (LAAD, Symphony, NPA), Veeva CRM, MMIT, Model N, specialty pharmacy dispense data, claims/RWD, and EMR/EHR data in small-population, high-value-per-patient environments.
• Agent System Design: Experience designing multi-agent workflows, agent orchestration patterns, and autonomous systems for enterprise applications. Understanding of MCP (Model Context Protocol) and agent interoperability frameworks.
• Performance & Scalability: Experience with high-throughput inference, batch scoring at scale, low-latency APIs, and horizontal scalability for agent workloads.
• Enterprise Integration: Experience integrating with Snowflake, Veeva, Salesforce, Microsoft 365, and ServiceNow APIs to enable end-to-end automation.
• Communication & Collaboration: Excellent verbal and written communication skills; able to present complex findings to both technical and non-technical audiences. Strong orientation toward teamwork in a fast-paced, regulated environment.
• This role is at the center of that shift for Alexion’s US Commercial organization — building the engineering foundation that makes both classical ML models and agentic AI systems reliable, auditable, and effective enough to operate at enterprise scale in a regulated rare disease environment. You will be instrumental in delivering the Data Science & Advanced Analytics capabilities that help Alexion find undiagnosed patients, optimize the rare disease field force, and drive commercial performance across a portfolio of life-changing therapies.
• When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
• Ready to make an impact? Apply now!
• Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com . Alexion participates in E-Verify.

Closing Date