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Principal Data Scientist, Data And Statistical Science Ai/Ml
hace 2 meses
.Passion for Innovation. Compassion for Patients. With over 120 years of experience and more than 17,000 employees in over 20 countries, Daiichi Sankyo is dedicated to discovering, developing, and delivering new standards of care that enrich the quality of life around the world.In Europe, we focus on two areas: The goal of our Specialty Business is to protect people from cardiovascular disease, the leading cause of death in Europe, and help patients who suffer from it to enjoy every precious moment of life. In Oncology, we strive to become a global pharma innovator with competitive advantage, creating novel therapies for people with cancer.Our European headquarters are in Munich, Germany, and we have affiliates in 13 European countries and Canada.We are seeking highly qualified candidate to fill the position:Principal Data Scientist, Data and Statistical Science AI/ML (m/f/x)The Position: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.Roles & Responsibilities: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
