Data Engineer

Genentech•New York City, NY

12d

About The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. 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 Lab-in-the-Loop ( https://www.youtube.com/watch?v=cN1PxxQWoEc ). This platform will serve as the central nervous system for managing and integrating molecular data across our global research organization, handling hundreds of billions of records and enabling unprecedented scale in virtual molecule design and testing. As the volume of AI-generated molecular designs grows exponentially, our TMR platform must evolve to become a high-performance, cloud-native system capable of supporting rapid iteration cycles between computational design and experimental validation. You will be instrumental in consolidating our molecule registration systems into a single, harmonized environment, unlocking the full potential of our data and accelerating the development of life-changing therapies. The ideal candidate will combine data engineering experience with an interest in chemical and biological data management systems. You will work closely with our machine learning for drug development team, Genentech Research & Early Development (gRED) Drug Discovery teams, including the Antibody Engineering division, and other teams across the Roche family of companies to identify, strategize, and productionalize high-impact applications from across the drug discovery and development pipeline. Genentech provides a dynamic and challenging environment for cutting-edge, multidisciplinary research in AI and drug discovery including access to rich sources of data, close links to top academic institutions around the world, as well as internal Genentech and Roche partners and research units.

Requirements

3+ years of data engineering experience
Strong experience with Postgres SQL and Oracle
Skilled with at least one modern data toolkit (Glue, dbt, Databricks,...)
Cloud platform exposure (preferably AWS)
Python programming skills
Strong testing practices
Bachelor's degree in Computer Science or related field (or equivalent experience)