Principal Data Architect II, Biotherapeutics and Genetic Medicine

Principal Data Architect II, Biotherapeutics and Genetic Medicine

Join to apply for the Principal Data Architect II, Biotherapeutics and Genetic Medicine role at Abb Vie.

$/yr - $/yr

Abb Vie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok.

Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within Abb Vie’s R&D, is a global organization that is responsible for discovering and optimizing drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA etc.) for all therapeutic areas across discovery.

The Principal Data Architect is a visionary leader in the development and success of our cloud-native data platform, which supports the development and integration of predictive and generative machine learning solutions in drug discovery scientist workflows. This role requires a strong ability to see both the big picture and the details, and to work cross-functionally with both wet lab scientists, ML engineers, software engineers, data engineers, and data infrastructure engineers, among others.

This position reports to the Head of AI/ML in Biotherapeutics and Genetic Medicine (BGM) and will serve as a trusted advisor to senior leadership. This role is pivotal in driving our organization towards becoming a leader in the application of artificial intelligence, ensuring that AI and ML initiatives are built on a robust, resilient, and scalable data foundation that grows with the organization.

• Drive the vision, execution, implementation, adoption, and continuous improvement of a robust, scalable data platform as the foundation for the execution of Abb Vie’s AI/ML strategy, particularly within BGM.
• Define data models and architectures that collect, store, structure, access, and connect datasets generated across a dozen different lab groups, enabling downstream uses (ML model development, operational reports, lab documentation, etc.).
• Collaborate closely with wet lab scientists, especially the Head of Lab Data Products, and automation engineers to maximize the utility of data captured by lab automation workflows.
• Collaborate closely with data scientists, and deployment engineers, to ensure data pipelines support both machine learning model development and deployment into production.
• Co-develop and execute a strategy that maximizes FAIR-fication of BGM data and in concert with wider BGM strategic goals.
• Communicate the impact of a robust data platform to Abb Vie’s drug pipeline, using both user stories and KPIs that allow measurement of the value added.
• Multiply impact of the data platform by championing and communicating the principles behind connected data, data stewardship, data-as-a-product, and cloud-first and cloud-native architectures.
• Collaborate with data infrastructure and data governance experts across Abb Vie to ensure that data governance principles and policy are optimally implemented.
• Ensure alignment and coordination of data infrastructure initiatives with existing Abb Vie initiatives such as Convergence, and ARCH.

• BS, MS, or PhD in computer science, data science, computational biology, computational chemistry, computational biophysics, or related field with typically 16+ (BS) years, 14+ (MS) years, or 8+ (PhD) years of experience in data architecture with a track record of designing enterprise data platforms.
• Deep technical skills in data modeling, data integration, implementation of data storage solutions, data pipelines, and integration with AI/ML.
• Production programming expertise in SQL, python, or Java.
• Experience building cloud data infrastructure solutions…