Senior Director, AI & Data Science Solutions

This is a fully remote position, open to applicants in New Jersey, +1 more state.

📋 Description

• Establish and propel the strategic vision and roadmap for AI, Generative AI, data science capabilities, solutions, use cases, and interconnected AI initiatives throughout R&D.

• Counsel senior R&D leadership regarding opportunities and risks associated with AI, data technologies, and Generative AI.

• Direct the design, development, and pre-deployment of adaptable and scalable AI solutions for intricate R&D data and applications.

• Manage AI and Generative AI use cases from conception to production deployment and application lifecycle oversight.

• Lead data processing, representations, and AI solutions for clinical trials, patient recruitment, content creation, asset management, pharmacovigilance, quality control, regulatory compliance, real-world data, sensor and medical device data, and omics data.

• Advocate for best practices in AI solutions, review solution architectures, and supervise data and AI observability, governance, monitoring, and lifecycle practices.

• Design and expand AI/ML practices from experimentation and deployment to monitoring and retraining.

• Offer technical and engineering support for data and information governance, quality assurance, and FAIR data principles.

• Build, mentor, and lead a high-performing team of data scientists, AI/ML scientists, and lifecycle support personnel.

• Oversee team budgets, resource allocation, project timelines, vendor relationships, and the data and AI Solutions portfolio.

• Ensure that initiatives adhere to governance standards, data privacy regulations, GxP, HIPAA, and responsible AI principles.

• Collaborate with Legal, Compliance, IT, the Data and AI Platform, Data Engineering, R&D, scientific teams, operations, and external partners.

• Convert scientific challenges into actionable data and AI projects and relay strategy, progress, and outcomes to technical and executive stakeholders.

⛳️ Requirements

• Over 12 years of progressive leadership experience in data science, AI/ML, and Generative AI.

• A minimum of 5 years in senior technical leadership or management positions.

• Strong experience in team management and development.

• Proven experience in architecting, building, and maintaining large-scale data and AI solutions in scientific, regulated, or research-intensive environments.

• Significant experience in the pharmaceutical, biotech, or life sciences industry, particularly within R&D, is highly desirable.

• Profound understanding of AI and machine learning applications in pharmaceutical contexts.

• Demonstrated experience in implementing and deploying Generative AI and LLM applications in production settings.

• Expertise in real-world data assets and their use to generate scientific evidence and enhance operational effectiveness.

• Extensive knowledge in data science, data representation, Generative AI, AI, and machine learning techniques.

• Experience in architecting and delivering AI/ML use cases.

• Exceptional team leadership, cross-functional collaboration, and project management abilities.

• Master’s degree in a mathematical, engineering, or scientific discipline such as Computer Science, Mathematics, Engineering, Physics, Statistics, or a related field, with a focus on advanced and modern data science, including AI and machine learning.

• A PhD is strongly preferred.

🏝️ Benefits

• Comprehensive medical, dental, vision, and prescription drug coverage.

• Company-provided basic life insurance.

• Accidental death and dismemberment insurance.

• Short-term and long-term disability insurance.

• Tuition reimbursement.

• Student loan assistance.

• Generous 401(k) matching.

• Flexible time off.

• Paid holidays.

• Paid leave programs.

• Additional company-provided benefits.

• Incentive opportunities.