Associate Director, AI Clinical Scientist

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Oversee the strategic and technical development as well as the implementation of AI solutions within the scientific domains of Otsuka R&D.

• Execute the objectives of the Data Science and AI portfolio throughout the Discovery, Preclinical, and Clinical stages of drug development.

• Formulate data and analysis strategies that utilize AI technologies.

• Discover and implement innovative analytical solutions utilizing machine learning, tokenization, and digital health technologies.

• Create sophisticated analyses for digital, sensor, metabolomics, proteomics, and genomics datasets.

• Explore proof-of-concept projects and develop applications employing LLMs and Generative AI.

• Evaluate the feasibility and impact of integrating Generative AI, LLMs, and small AI models into operational workflows.

• Facilitate cross-functional scientific data analyses and evidence generation throughout the drug development lifecycle.

• Promote awareness and integrate AI/ML technologies within R&D processes.

• Enhance data and analytics systems and their execution.

• Lead the evaluation, selection, and analysis planning for transitional and digital biomarkers as well as clinical trial data.

• Direct the planning, development, and implementation of data science solutions utilizing novel AI methodologies.

• Mentor team members and encourage innovation and collaboration.

• Partner with internal and external stakeholders on cutting-edge data science and analytics technologies.

• Act as a subject matter expert to support portfolio success.

• Provide insights on AI/ML trends to shape the technical roadmap and strategic direction.

• Establish both internal and external visibility through publications in conferences and academic journals.

• May assist in supervising data or AI scientists, managing resources, providing training, and advising cross-functional teams.

⛳️ Requirements

• A minimum of 5 years of experience in AI and advanced data sciences in the pharmaceutical or biotech R&D sectors.

• Proficiency in scientific data analyses related to drug development and real-world data assets, including biomarkers, endpoints, and scientific or value evidence.

• Strong knowledge of AI, Generative AI, and machine learning techniques, along with relevant tools such as PyTorch, TensorFlow, LLMs, and associated technologies.

• Expertise in digital health technologies and their applications in pharmaceutical research.

• Exceptional project management capabilities.

• Ability to mentor team members on AI and other relevant methodologies.

• Capacity to collaborate effectively with internal and external stakeholders.

• Strong communication skills characterized by logic, clarity, and respect.

• Commitment to staying updated with AI/ML industry trends and advancements.

• Ability to enhance external visibility through publications in pertinent conferences and journals.

🏝️ Benefits

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

• Basic life insurance provided by the company.

• Accidental death and dismemberment insurance.

• Short-term and long-term disability insurance.

• Tuition reimbursement.

• Assistance with student loans.

• Generous 401(k) matching.

• Flexible time-off policies.

• Paid holidays.

• Paid leave programs.

• Additional benefits provided by the company.

• Opportunity for incentives.