Principal Research Scientist II - Data Architecture, Biotherapeutics and Genetic Medicine

Principal Research Scientist II - Data Architecture, Biotherapeutics and Genetic Medicine Employer AbbVie Location Worcester, MA Salary 141500 - 268500 USD Start date Apr 7, 2026 View more categories View less categories Discipline Science/R D , Biotechnology , Biotherapeutics , Genetics Required Education Bachelors Degree Position Type Full time Hotbed Genetown , Best Places to Work Apply now Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Send job Job Details Company Job Details Company Description AbbVie'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 AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVies 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. Job Description 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. Key responsibilities: Drive the vision, execution, implementation, adoption, and continuous improvement of a robust, scalable data platform as the foundation for the execution of AbbVies 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 AbbVies 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 AbbVie to ensure that data governance principles and policy are optimally implemented. Ensure alignment and coordination of data infrastructure initiatives with existing AbbVie initiatives such as Convergence, and ARCH. Qualifications Qualifications: BS, MS, or PhD incomputer science, data science, computational biology, computational chemistry, computational biophysics, or related field with typically 14-16+ (BS) years, 12-14+ (MS) years, or 6-8+ (PhD) years of experience in data architecturewith 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 using AWS, Azure, or GCP. Familiar with both wet and dry lab scientific principles and processes, able to foresee and prevent data platform-originating failure modes. Experience with cross-functional team leadership, and track record of collaboration excellence. Previous experience in the pharmaceutical or biotechnology sectors. Experience managing both team member delivery and career development. Exceptional interpersonal and communica