Software Development Engineer, AI for Drug Discovery

Roche•New York, NY

2d•Onsite

About The Position

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. The Opportunity At Genentech and Roche, we are at the forefront of a revolutionary transformation in drug discovery. We are seeking an exceptional Software Engineer to join the team building our next-generation Therapeutic Molecule Registration (TMR) platform. This platform serves as the central nervous system for managing and integrating molecular data across our global research organization. As we scale our Lab-in-the-Loop strategy, you will build high-performance, cloud-native systems capable of supporting the rapid iteration cycles between computational design and experimental validation. While this role involves data-heavy systems, it is fundamentally a Software Engineering position focused on building robust, scalable applications and services that unlock the full potential of AI-generated molecular designs.

Requirements

3+ years of professional Software Engineering experience with a solid grasp of Computer Science fundamentals.
Proficiency in Python and strong experience with PostgreSQL.
Practical experience with cloud computing platforms (preferably AWS).
Proven track record of building and maintaining data pipelines and applying rigorous testing practices.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Nice To Haves

Educational background or professional experience in Biology, Biochemistry, or Chemistry.
Previous experience building tools for scientific research or laboratory environments.
Experience with both frontend and backend implementation and modern schema design.

Responsibilities

Architect and implement core features of our TMR platform using clean, well-tested code.
Build and maintain high-efficiency data pipelines to ensure seamless flow between experimental labs and AI models.
Design and deploy production-grade services within a cloud-native environment (AWS).
Facilitate complex data migrations and contribute to the harmonization of global molecule registration systems.
Participate in deep technical discussions, code reviews, and cross-functional planning with ML and Antibody Engineering teams.