This is what you will do:Be a key member of the Advanced Robotics & Data Orchestration Team within Alexion's Product Development & Clinical Supply organization. You will own the software layer that coordinates instruments and robots into push-button, reusable workflows. You will design state models, events, and integration modules; partner with data engineering experts to define schemas and event contracts; and deliver production-grade releases with observability and rollback. This role is software-leaning and science-facing: experience with pharmaceutical product development workflows, verification via vision/sensors, and data product thinking will help you translate scientist needs into robust orchestration. Help us accelerate life-changing therapies to patients with rare and ultra-rare diseases.
- Translate scientist and operator requirements (throughput, usability, exception paths, reliability targets) into orchestration designs and software implementations.
- Implement run-control logic (state models/events), exception handling, recovery/rollback, and scheduling for automated work cells and instruments.
- Develop reusable drivers/adapters and interface modules aligned to documented contracts, coding standards, and versioning, review code, and tests for quality.
- Integrate instruments/robots with schedulers and data services using interfaces and SDKs; partner with data engineering experts to define schemas and event models to support analytics and ML features.
- Apply configuration-as-code, CI/CD, automated testing, and secure development practices; ship documented releases and migration guides.
- Instrument workflows with telemetry/logs/alerts; define service level indicators and objectives for orchestration software; participate in postmortems and reliability exercises.
- Produce onboarding artifacts (connectivity patterns, validation checklists, example configurations) and support operator UAT and day-2 enablement.
- Support commissioning, cutovers, and hypercare for priority workflows; track reuse, commissioning time, error/rerun reduction, and uptime.
You will be responsible for: - Orchestration software components that meet reliability and usability targets across instruments and work cells.
- Audit-ready data trails for setpoints, states, recipe steps, and analytical outputs; alignment to validation and security expectations.
- High-quality documentation, release notes, and onboarding kits that enable repeatable adoption.
- Continuous improvement of orchestration software reliability using telemetry and corrective actions.
You will need to have: - Education/experience: PhD + 0 years, or MS + 4 years, or BS + 8 years in Computer Science, Engineering, or a related field (or equivalent experience)-including 4+ years building software for lab or industrial automation or robotics, with hands on orchestration or controls integration.
- Proficiency in one or more languages common in automation (for example, Python, C#, or Java) and experience with event-driven patterns and state machines.
- Experience with interfaces, SDKs, and message buses; integrating with schedulers and data services; familiarity with schema design, data contracts, and basic SQL.
- Collaboration with scientists/operators, mechatronics/controls, and data engineers; clear, user-focused documentation.
- The duties of this role may require periodic work in a laboratory or manufacturing environment. As is typical of such roles, employees must be able, with or without an accommodation to: lift/carry 15/30 pounds unassisted/assisted; work comfortably in a controlled environment with and around hazardous materials; gown/degown PPE; use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.
We would prefer for you to have: - Experience with biologics workflows (cell culture, purification, analytics) and integrating with ELN/LIMS/SDMS systems.
- Hands-on work with robotics SDKs, verification via vision/sensors, barcode or RFID, or material-handling subsystems.
- Familiarity with observability tooling (metrics/logs/alerts), defining service levels, and structured postmortems.
In person working statement: 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 is why we work, on average, a minimum of four days per week from the office. We balance this expectation while respecting individual flexibility. Join us in our unique and ambitious world.
Date Posted22-jun-2026
Closing Date12-jul-2026
