Biogen (NASDAQ: BIIB) is a biotechnology leader that discovers, develops and delivers innovative therapies to improve the lives of patients. As a company, Biogen recognizes that cutting-edge science and medicines can change the course of devastating neurologic diseases. For more information please visit: www.biogen.com/careers

Overview                                                                         

The Director Machine Learning and Artificial Intelligence, Real World Evidence Strategy and Analytics will lead a team of data scientists to provide machine learning and artificial intelligence solutions for high priority applications in WWM, R&D and Commercial at Biogen. This role reports into the Head, Real World Evidence Strategy and Analytics (ALIGN) within Personalized Health Research, Analytics and Solutions (PHRAS).

Primary Responsibilities

As Director Machine Learning and Artificial Intelligence (MLAI), you will:

• Ensure that staff implement innovative, rigorous MLAI methods to meet project objectives
• Lead and supervise complex MLAI research projects to ensure high quality deliverables
• Provide technical leadership, develop best practices, and expand MLAI capabilities
• Develop partnerships across WWM, R&D and Commercial and participate in cross-functional MLAI initiatives
• Develop and lead strategic open innovation partnerships using MLAI methods
• Work with colleagues within ALIGN to allocate MLAI and other data sciences resources with appropriate level of experience based on project requirements
• Collaborate with and provide oversight to external entities (e.g. consultants and vendors) in the development and application of MLAI methods
• Play a leading role in planning the size and composition of MLAI team, recruiting high quality candidates, and building and leading a high performing team of MLAI data scientists
• Oversee career progression of staff in terms of MLAI skills, consulting, and administrative processes

Qualifications / Skills 

• Thorough understanding of machine learning and artificial intelligence methodologies.
• Expertise in high dimensional data derived from digital health applications, biomarkers, genomics analyses, and imaging
• Able to manage multiple projects simultaneously, to manage conflicting priorities, and to be flexible when priorities change
• Able to manage, mentor and direct multiple staff
• Able to write and present information effectively, explain methodology and the consequences of decisions in lay terms
• Demonstrate strong organizational skills, including the ability to prioritize 

Education 

• MS or PhD in Computer Science, Biostatistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Computational Chemistry, Chemistry, Bioinformatics, or Computational Biology
• 10-12 years of experience in complex analytics and data sciences, high dimensional data, and digital health.

All your information will be kept confidential according to EEO guidelines.