Associate Director, AI Clinical Scientist

About the role

The Associate Director, AI Clinical Scientist in the Data Science and AI team will play a pivotal role in leading strategic and technical development and use AI solutions across scientific domains in Otsuka R&D.

Responsibilities

• Implement Data Science and AI portfolio objectives and contribute to the development of data and analyses strategies across all phases of drug development, from Discovery and Preclinical to Clinical stages while extensively leveraging AI.
• Identify and apply innovative analytical solutions with a strong focus on adopting novel AI tools, methodologies, and technologies, including machine learning, tokenization, and digital health technologies (DHTs).
• Development and application of novel advanced analyses for biological data, including, digital, sensor data, metabolomics, proteomics and genomics to support new drug development and decision making.
• Investigate and conduct Proof of Concept (PoC) initiatives, and develop solutions for new AI applications using advanced technologies like Large Language Models (LLMs) and Generative AI (Gen-AI) to enhance data analytics capabilities to advance and effectively accelerate candidates across drug development phases.
• Assess the feasibility and potential impact of integrating Gen AI, LLMs, and other small AI models into existing workflows, and recommend adoption strategies based on PoC outcomes.
• Work with cross-functional teams to support deep scientific data analyses, leverage AI and gen AI capabilities effectively for Otsuka' drug development portfolio, evidence generation efforts throughout the drug lifecycle.
• Leverage Gen AI and AI/ML applications across the organization, emphasizing their transformative potential in drug development processes.
• Create awareness and integration of such technologies into R&D processes effectively.
• Develop processes to optimize data and analytics systems and their execution, ensuring alignment with cutting-edge technological advancements.
• Guide the scientific and technical evaluation, selection, and planning of analysis for transitional and digital biomarkers, along with the data generated in clinical trials.
• Lead the planning, development, and implementation of data science solutions that leverage novel AI methodologies.
• Guide team members on AI and other methodologies and foster a culture of innovation and collaborative success.
• Collaborate with internal and external stakeholders to identify opportunities for innovation and experimentation with emerging technologies in data science and analytics.
• Serve as a subject matter expert, ensuring effective awareness, communication, and collaboration to achieve portfolio success.
• Remain current with industry trends and advancements in AI/ML, providing insights to influence the organization's technical roadmap and strategy.
• Build a strong presence both internally and externally through publications in relevant and reputable conferences and journals.

Qualifications/ Required Knowledge/ Experience and Skills

• 5+ years of experience in AI and advanced data sciences within the pharmaceutical, or Bio-Tech R&D industries.
• Expertise in scientific data analyses in drug development and real-world data assets and using them to explore biomarkers, endpoints, and scientific or value evidence.
• Proficiency in AI, Gen AI, and machine learning techniques and relevant tools (e.g., pytorch, TensorFlow, LLMs and related technologies to do analyses and analytics).
• Expertise in digital health technologies and their applications in pharmaceutical research.
• Strong project management skills with a focus on delivering impactful initiatives.

Pay

$169,222.00 - $253,000.00, plus incentive opportunity.

Schedule

TBD.

Benefits

• Comprehensive medical, dental, vision, prescription drug coverage
• Company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance
• Tuition reimbursement
• Student loan assistance
• A generous 401(k) match
• Flexible time off
• Paid holidays
• Paid leave programs