Sr. Principal Data Scientist​/Clinical Director , Data and AI Convergence

Job Description

The Director, Clinical Data and AI Convergence, will serve as the physician leader within Abb Vie’s R&D Convergence Core Team, responsible for identifying and executing opportunities where data convergence, advanced analytics, and AI technologies can transform strategic decision‑making processes and optimize end‑to‑end clinical and translational medicine workflows. This role brings together deep medical expertise, strategic vision, and applied data science capabilities to develop integrated, scalable workflow solutions that accelerate trial execution, improve decision quality, and enhance operational efficiency across Abb Vie’s therapeutic portfolio.

• Act as the principal clinical integration authority for Convergence initiatives, ensuring solutions are clinically relevant, scientifically rigorous, operationally feasible, and compliant with regulatory standards.
• Lead efforts to assess existing workflows, identify systemic gaps, and collaborate with teams to architect advanced analytical and AI‑enabled processes that seamlessly embed into R&D processes, from early research through late‑stage development.
• Ensure that clinical workflow innovations create measurable value for Abb Vie’s pipeline and shape a sustainable foundation for enterprise‑wide adoption of advanced data capabilities.

• Serve as the primary clinical voice within the Convergence Data and AI team, ensuring initiatives address real‑world medical and operational needs.
• Translate therapeutic area and functional priorities into integrated workflow solutions that can scale across programs and indications.
• Partner across R&D to identify workflow inefficiencies, bottlenecks, and decision‑making gaps that can be addressed through end‑to‑end data convergence and advanced technological strategies.

• Lead the collaborative development of architecture and enterprise‑level workflows integrating diverse data sources into unified, analytics‑ready frameworks.
• Ensure new workflows are interoperable, user‑centric, and aligned with trial governance, decision forums, and change‑management plans.
• Oversee the clinical validation of AI‑derived outputs for patient selection, endpoint strategies, trial optimization, safety surveillance, and benefit–risk assessment.

• Facilitate co‑creation of solutions with clinicians, data scientists, biostatisticians, operations leaders, and regulatory partners.
• Champion cultural adoption of integrated data and AI workflows through stakeholder engagement, targeted training, and transparent demonstration of business/clinical impact.
• Disseminate lessons learned, best practices, and standardized methodologies across functions and therapeutic areas to accelerate adoption.

• MD with 8‑10 years of pharmaceutical/biotech industry experience in clinical development or translational medicine; substantial experience in data‑enabled workflow transformation.
• Deep understanding of the entire clinical development lifecycle, including trial design, execution, regulatory submission, and post‑approval processes.
• Proven success in leading enterprise‑level workflow transformations integrating AI, advanced analytics, or digital capabilities into regulated clinical operations.
• Strong grasp of therapeutic area variability, patient population considerations, endpoint development, and safety signal interpretation.
• Exceptional ability to translate between clinical, technical, and operational perspectives for diverse audiences.
• Demonstrated skill in influencing across matrixed organizations.

• Board certification in a relevant specialty; recent or ongoing clinical practice experience.
• Experience in translational medicine, biomarker strategy, or precision medicine.
• Knowledge of machine learning, predictive modeling, and statistical methodologies relevant to clinical research.
• Familiarity with clinical data standards (e.g., CDISC) and interoperability frameworks.
• Experience implementing change management for new workflows or technologies in…