POSITION SUMMARY:
The VP of AI & Machine Learning is responsible for overseeing the development and execution of all data analysis activities for R&D groups, clinical trials, and external collaborations, including the research and development of new analytical methodologies, the implementation of innovative technologies for big data analysis, and interfacing with external partners. Partnering with IT, the VP of AI & Machine Learning will also deliver top-notch technologies within High-Performance Cluster (HPC) infrastructure.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Work with management to define and execute company goals and objectives.
As a member of the management team, develop and execute corporate and/or organizational policies pertaining to the Analytics and IT departments.
Oversee the activities of one or more functional areas, divisions, product groups or service areas through senior managers who have overall responsibility for the successful operation of those assigned areas pertaining to AI, Machine Learning and IT.
Implement strategy into product by using internal and external resources given the company business objectives.
Supervise the Analytics Division within their development and analysis tasks, ensuring the optimal flow of all activities, and guaranteeing timely delivery of high-quality outputs.
Oversee IT Department and ensure timely execution of corporate objectives, IT service and IT deliverables to the Company.
Supervise the administration of company's HPC environment, and the research/deployment of new technologies when necessary. Represent the Company and the Analytics Division internally and externally.
Other duties as assigned.
REQUIREMENTS
:
Ph.D. in Computational Biology or related field with 12-15+ years of relevant industry experience.
A minimum of 5 years of management experience.
Proven track record of using Machine Learning and/or Probabilistic Inference AI to extract actional insights from Pharmaceutical, Clinical, and RWD/E data.
Proven ability to find creative and practical solutions to complex problems.
Demonstrated success in working and building relationships with active and potential customers.
Solid understanding of scalable algorithms, R or Python programming languages, and relational/non-relational databases is necessary, hands-on experience is preferable.
Experience in Linux and Big Data technologies.
Demonstrated planning and project management skills.
Excellent communication and interpersonal skills combined with a superior and proven track record of technical and organizational skills.
Must be able to work in a team-oriented environment and demonstrate attention to detail and excellent record-keeping.
Building and leading team with cross-functional engagement
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