Senior Director, AI & Data Science Solutions

🕒 August 14

🏖️ New Jersey, Maryland – Remote

🏖️ New Jersey – Remote 🦀 Maryland – Remote

💵 $230.7k - $345k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Otsuka Pharmaceutical Companies (U.S.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💊 Pharmaceuticals

🏥 Healthcare

🧬 Biotechnology

Pharmaceuticals • Healthcare • Biotechnology

Otsuka Pharmaceutical Companies (U. S. ) is a prominent player in the pharmaceutical manufacturing industry, dedicated to creating innovative products for better health worldwide. The company comprises two main entities: Otsuka America Pharmaceutical, Inc. (OAPI), which is focused on commercializing Otsuka-discovered and in-licensed products in North America, and Otsuka Pharmaceutical Development & Commercialization, Inc. (OPDC), which specializes in the clinical development and global registration of innovative healthcare solutions, particularly in the field of neuroscience.

📋 Description

• Define and drive the strategic vision and roadmap for AI, Generative AI, data science capabilities, solutions, use cases, and connected AI programs across R&D • Advise senior R&D leadership on opportunities and risks related to AI, data technologies, and Generative AI • Lead the design, development, and pre-deployment of extensible and scalable AI solutions for complex R&D data and applications • Oversee AI and Generative AI use cases from ideation through production deployment and application lifecycle management • Lead data processing, representations, and AI solutions for clinical trials, patient recruitment, content authoring, asset management, pharmacovigilance, quality, regulatory, real-world data, sensor and medical device data, and omics data • Champion AI solution best practices, review solution architectures, and oversee data and AI observability, governance, monitoring, and lifecycle practices • Architect and scale AI/ML practices from experimentation and deployment through monitoring and retraining • Provide technical and engineering support for data and information governance, quality, and FAIR data • Build, mentor, and lead a high-performing team of data scientists, AI/ML scientists, and lifecycle support staff • Manage team budget, resource allocation, project timelines, vendors, and the data and AI Solutions portfolio • Ensure initiatives comply with governance standards, data privacy regulations, GxP, HIPAA, and responsible AI principles • Collaborate with Legal, Compliance, IT, Data and AI Platform, Data Engineering, R&D, scientific, operations, and external partners • Translate scientific challenges into executable data and AI projects and communicate strategy, progress, and outcomes to technical and executive stakeholders

🎯 Requirements

• 12+ years of progressive leadership experience in data science, AI/ML, and Generative AI • At least 5 years in senior technical leadership or management roles • Strong team management and development experience • Experience architecting, building, and maintaining large-scale data and AI solutions in scientific, regulated, or research-heavy environments • Strong pharmaceutical, biotech, or life sciences industry experience, particularly in R&D, highly desirable • Deep understanding of AI and machine learning applications in pharmaceutical settings • Proven experience implementing and deploying Generative AI and LLM applications in production • Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness • Deep expertise in data science, data representation, Generative AI, AI, and machine learning techniques • Experience architecting and delivering AI/ML use cases • Strong team leadership, cross-functional collaboration, and project management skills • Master’s degree in a mathematical, engineering, or scientific discipline such as Computer Science, Mathematics, Engineering, Physics, Statistics, or a related field, focused on advanced and modern data science including AI and machine learning • PhD 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) match • Flexible time off • Paid holidays • Paid leave programs • Other company-provided benefits • Incentive opportunity