Sr. Principal Data Scientist / Clinical Director I, Data and AI Convergence Full-time

Director, Clinical Data and AI Convergence

The Director, Clinical Data and AI Convergence, will serve as the physician leader within AbbVie'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 – moving beyond isolated point tools – to accelerate trial execution, improve decision quality, and enhance operational efficiency across AbbVie's therapeutic portfolio. The Director will

• 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 AbbVie's pipeline and shape a sustainable foundation for enterprise-wide adoption of advanced data capabilities

Qualifications

*Position can be hired at Clinical Director I or Sr. Principal Data Scientist, Director I level depending on education and years of experience.

Qualifications for Clinical Director I, Data and AI Convergence:

• 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.

Preferred:

• Board certification in relevant specialty; recent or ongoing clinical practice experience.
• in translational medicine, biomarker strategy, or precision medicine.
• knowledge of machine learning, predictive modeling, and statistical methodologies relevant to clinical research.
• with clinical data standards (e.g., CDISC) and interoperability frameworks.
• implementing change management for new workflows or technologies in clinical organizations.
• Knowledge of cloud computing platforms, big data architectures, and enterprise data integration

Qualifications for Sr. Principal Data Scientist, Director I, Data and AI Convergence:

• PhD in Computer Science, Statistics, Bioinformatics, Computational Biology, Applied Mathematics, Data Science, or related quantitative field strongly preferred; Master's degree with exceptional demonstrated expertise and extensive experience considered
• 8-10+ years of progressive experience building, deploying, and scaling advanced AI/ML solutions in enterprise environments, with demonstrated leadership of large-scale, cross-functional data and analytics initiatives.
• Proven track record of leading enterprise-wide workflow projects that resulted in measurable organizational impact and sustainable capability development
• Minimum 5+ years of experience working in highly matrixed, complex organizational environments (Preferred experience in Consulting across pharmaceutical, biotech, healthcare, or similarly regulated industries strongly preferred)

Technical Expertise

• Expert-level proficiency in advanced machine learning and artificial intelligence, including deep learning, neural network architectures, ensemble methods, transfer learning, and generative AI technologies
• Demonstrated mastery of ML/AI frameworks and platforms (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face) and their application to complex, real-world problems
• Advanced programming capabilities in Python and R, with strong software engineering principles; experience with production code development, version control, CI/CD pipelines, and testing frameworks
• Deep understanding of MLOps principles, model lifecycle management, workflow orchestration tools (e.g., Airflow, Kubeflow, MLflow), and enterprise deployment architectures
• Experience with cloud computing platforms (AWS, Azure, others) and distributed computing frameworks for large-scale data processing and model training
• Strong expertise in data architecture, data integration patterns, and modern data platforms supporting enterprise analytics

Strategic & Leadership Capabilities

• success leading enterprise-scale initiatives that transform organizational workflows and decision-making processes through data and AI integration
• ability to influence senior leadership, build cross-functional coalitions, and drive adoption of complex technical solutions across large, matrixed organizations
• change management acumen and experience driving organizational transformation in regulated environments
• record of successful collaboration with multidisciplinary teams including data scientists, software engineers, clinicians, scientists, and business stakeholders

Domain Knowledge

• in pharmaceutical R&D, clinical development, or healthcare analytics strongly preferred
• of regulatory requirements, clinical trial design, drug development lifecycle, and healthcare data governance preferred
• knowledge of healthcare data standards (e.g., CDISC, OMOP) and FAIR data frameworks preferred

Additional Information

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our short-term incentive programs.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.