As a site intelligence development lead, you will support Machine Learning / Artificial Intelligence Efforts for Site Intelligence.
You will be expected to apply your skills and discipline knowledge to recommend and apply statistical analysis and visualization techniques to site intelligence projects.
You will provide support to Study Optimization Leadership / Head of Site Feasibility and Selection on special projects. In addition you will be expected to lead and / or participates in global initiatives to improve operational efficiencies.
As part of this role you will work under the supervision of Director of Site Intelligence
Participates in the identification of data-driven / Machine Learning business opportunities for Site Intelligence
Supports and develops algorithms to extract information from large, multiparametric data sets with experimental feedback and design of experiments.
Design, develop and implement analytical solutions aimed to optimize country and site footprints for clinical trial conduct
Takes appropriate risks to advance new concepts and methodologies for the design and optimization of data analytics projects related to site intelligence
Participates in the development of ML and advanced analytics techniques to perform classification and prediction tasks new algorithms aimed to optimize country & site placement opportunities for clinical trial conduct
Collaborates with business units to support and deliver the implementation of ML / AI Site Intelligence initiatives through good communication, clear implementation plans and explicit performance metrics to agreed timelines and quality.
Creates awareness by working as a cross functional team leader to share and learn about best practices used within other Analytics Organizations across the company to deliver Site Intelligence initiatives with a variety of stakeholders, both internal and external.
Initiatives will be diverse and may include technology and process improvement components.
Promotes a continuous improvement culture to streamline appropriate processes for maximum efficiency and productivity
Maintains effective relationships with other platform lines, Business Units / Research Units, and enabling lines that facilitates effective portfolio delivery
Unsere Erwartungen an dich
Proficiency in Python and the standard Machine Learning library stack scikit-learn, numpy, pandas, etc.
Familiarity with the Machine Learning pipeline
Expertise in optimization, ranking, information retrieval, causality, transfer learning, NLP, or probabilistic inference.
Expertise in visualization development (Spotfire, Tableau)
Proven ability to work autonomously and collaboratively as part of a team
Strong presentation skills, interpersonal skills, as well as a team-oriented approach. Excellent verbal, written, communication and time management skills
Ability to multitask under tight deadlines on several projects with specific and unique requirements, while providing attention to detail and high-quality work.
Ability to be flexible, adapt to change, work independently, as well as work as part of a team in a matrix environment.
MS 2 years
Professional working experience Min 6 years
Experience in both supervised and unsupervised machine learning models
Experience with Dataiku DSS
Experience with at least one Deep Learning framework (e.g. TensorFlow)
BS / Equivalent 4 years
PhD in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Bioinformatics or a related field
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Job: Site Intelligence Development Lead
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