Senior Forward-Deployed Engineer, Cheminformatics

AstraZeneca GmbH; Cambridge (MA); On-site; USD 145,000 - 217,000; Full time

Job summary

AstraZeneca GmbH in Kendall Square seeks a Senior Forward Deployed Engineer with a Chemistry background to help build and enhance a multi-modality drug discovery platform. You will join a global team to support small molecule and new modality drug discovery, leveraging Python, cheminformatics, and cloud-native tech.

Responsibilities include designing scalable systems, prototyping with users, and delivering production-grade solutions across integrated scientific workflows.

Qualifications

• Strong Python engineering for production-grade apps and services.
• Experience building scalable software systems and APIs in production.
• Chemistry toolkits and cheminformatics knowledge.
• Experience gathering requirements from users and stakeholders.
• Prototype rapidly and mature to robust systems.
• Cloud and data pipelines across complex environments.

Responsibilities

• Partner with scientists and product teams to translate problems into engineering solutions.
• Design, build, deploy, and improve software applications and tools for drug discovery workflows.
• Prototype with users and evolve successful solutions to production-grade systems.
• Bridge chemistry and data to deliver integrated solutions across workflows.
• Collaborate with cross-functional teams to ensure platform scalability and reliability.
• Lead engineering practices: reviews, tests, logging, documentation.

Skills

Python

Cheminformatics

APIs & services

Production systems

Users & stakeholders

Education

Chemistry background, PhD preferred

Masters essential

Tools

Docker

Kubernetes

GitHub Actions

ArgoCD

Job description

AstraZeneca GmbH in Kendall Square seeks a Senior Forward Deployed Engineer with a Chemistry background to help build and enhance a multi-modality drug discovery platform. You will join a global team to support small molecule and new modality drug discovery, leveraging Python, cheminformatics, and cloud-native tech.

Responsibilities include designing scalable systems, prototyping with users, and delivering production-grade solutions across integrated scientific workflows.