AI and Data Scientist

Job Summary

The Associate Director, AI and Data Scientist is a hands-on experienced technical leader who specializes in applying AI and data science in the context of Pharma R&D operational processes towards AI transformation. This may involve leading or contributing to AI projects that leverage diverse data and information to augment and accelerate current workflows. The role will focus on developing data science, AI solutions, use-cases, and applications as well as efficiently conducting research on feasibility of such solutions. While keenly focusing on business utility, and how AI transforms processes, the role will go deep into providing architectural and design guidance on the use of AI and data science, new processes and workflows to cross-functional teams and at times leading the implementing state-of-the-art AI solutions for business processes within R&D and across Corporate Functions.

The AI and Data Scientist will develop leading-edge technical solutions such as multi-agent orchestration, pragmatic uses of generative AI, and robust reusable AI and data science solution capabilities as part of cross-functional teams including life sciences subject matter experts and technical development teams, including AI engineers and AI platform engineers. In a world with rapidly evolving AI, AI technology, the AI scientist will also keep current with evolving technologies, gaining experience in new technology to guide better implementation of projects in responsibility, but also providing guidance to cross-functional teams, where needed.

The AI and Data Scientist will work with other Data Science, AI Scientists, AI engineers, and others within the larger Data Science and AI team in designing, developing, and implementing robust solutions for Otsuka. The role will partner with cross-functional teams such as IT (e.g., AI platform engineers to utilize recommended foundational capabilities, and architectural frameworks) and other stakeholders to ensure that efficient and effective solutions are developed and ultimately lead to AI transformation.

Job Description 

Qualifications

• Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.
• Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.
• Experience in AI product development with focus on leveraging AI, Data Science, Machine Learning. Deep understanding of AI and Machine Learning and its applications in Pharma
• Experience with data science and AI enabling technology, such as Dataiku Data Science Studio, Snowflake, AWS SageMaker or other data science platforms and ability to maintain awareness as new AI technologies emerge
• Creative problem solving using responsible use of AI and other technologies.
• Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts to non-technical audiences.
• Familiarity with machine learning and AI technologies and their integration with data engineering pipelines
• Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP). Awareness of testing and validation approaches related to GxP, non-GxP, etc.
• Highly self-motivated to deliver both independently and with strong team collaboration, leverage roles that exist in the team and in the larger ecosystem
• Experience in AI and ML based software/product engineering; familiarity with test and validation principles, GxP validation
• Experience with data science enabling technology, such as Dataiku Data Science Studio, Snowflake, AWS SageMaker or other data science platforms
• Experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.
• Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly  in drug development and clinical trials is highly desirable.
• Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments.

• Experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.
• Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly within R&D, is highly desirable.
• Proven track record of implementing proof of concept as well as production grade AI/ML, Gen AI and large language model (LLM) applications in production environments.
• An understanding of data's role in AI, including data collection, governance, and how to structure a problem for better AI outcomes.

Competencies
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
Respectful Collaboration - Seek and value others’ perspectives and strive for diverse partnerships to enhance work toward common goals.
Empowered Development - Play an active role in professional development as a business imperative.

Minimum $169,222.00 - Maximum $253,000.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate’s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.

Company 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, and paid leave programs as well as other company provided benefits.

Come discover more about Otsuka and our benefit offerings; https://ah-prod.com/multi/videoplayer/player.html?v=6385356920112.

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Disclaimer: 

This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. 

Otsuka is an equal opportunity employer.  All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.   

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability.  You can request reasonable accommodations by contacting [email protected]. 

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