Associate Director Data Science, Data and Statistical Science AI/ML in Remote (Remote) at Daiichi Sankyo

Date Posted: 5/23/2024

Job Snapshot

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    Not Specified
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  • Location
    Basking Ridge,NJ

Job Description

Join a Legacy of Innovation 110 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 120 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.   


The position holder will manage, with limited direction, end-to-end delivery of AI/ML projects (from business understanding, over hands-on development to dissemination), to ensure high quality deliverables are on time and within budget. The position holder will partner with internal and external stakeholders as well as vendors to optimize AI/ML technology, processes and standards. The position will have a strong knowledge of AI/ML applications and best practices as well as strong technical skills in working with (clinical) data. The position holder will require strong skills in continuous improvement, project management, change management and risk management.

Project level AI/ML activities

- Responsible, with limited supervision, for both managing and implementing AI/ML projects from business understanding and translation of business needs to AI/ML tasks, over data understanding and preparation, to modeling, validation and dissemination
- Identify innovative ways to improve the efficiency, quality and productivity of AI/ML activities and actively contribute to implementation
- Contribute to raising and maintaining awareness of best practices for reproducible data science, global regulatory requirements, internal guidelines and Standard Operating Procedures (SOPs)
- Ensure timely and accurate completion of AI/ML deliverables
- Contribute, with limited supervision, to documents submitted to regulatory or pricing authorities
- Proactively identifies and manages risks in assigned projects

Vendor Oversight

- Under limited supervision, responsible for providing direction and execute oversight of vendor delivery, to ensure compliance with the protocol, external/internal standards, applicable regulatory guidelines, policies, SOPs, and other relevant guidelines
- Engages, under supervision, in vendor selection and contracting, including review and negotiation of baseline budget and timelines
- Oversees budget management activities across the project duration
- May participate in meeting or teleconferences with health authorities

Operational Excellence Innovation

- May lead and/ or participate in global evidence generation initiatives to improve the harmonization and efficiency of process and/or develop and implement innovative solutions
- Maintains current knowledge of industry best practice in AI/ML methodology
- May act as Subject Matter Expert for AI/ML by providing guidance and support to Data and Statistical Science team members as well as represent the department in cross-functional teams
- Responsible for monitoring and applying regulatory guidance and industry best practices
- Demonstrates leadership within AI/ML by partnering with internal and external stakeholders to optimize technology, processes, and standards (improving quality/inspection readiness, decreasing cycle times, and reducing costs)
- Any other duties deemed pertinent to the needs of the business.

Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.

Education Qualifications (from an accredited college or university)

- Bachelor's Degree in Data Science or a related discipline from an accredited college or University required
- Master's Degree in Data Science or a related discipline from an accredited college or University preferred

Experience Qualifications

- 7 or more years of professional experience in data science / business intelligence / statistics role supporting drug development and/or post marketing in clinical research, pharmaceutical, CRO or medical device setting required
- Experience within oncology therapeutic area and/or in late phase projects is desirable preferred

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job Requirements