Data Scientist, Medicines Innovation Hub, LCCI

• Identify opportunities where data science can enhance and accelerate decision-making, create, and execute the plan to answer the business question.
• Experience in working with different data types and source systems as well as interfacing databases to enable extracting relevant data to address business questions.
• Experience in artificial intelligence and machine learning techniques to be able to use the right tool for the right question.
• Ability to communicate the results of analysis in an effective manner to stakeholders to drive action
  

• Work with partners across PR&D to identify decisions that can be informed by data science approaches.
• Apply the right data science tool/methodology to inform and influence decisions.
• Build decision support tools, templates, dashboards for high frequency decisions that can leverage analytics.
• Develop tools/algorithms to mine patterns in existing data to create a recommendation on future questions to consider.
• Integrate data science capabilities with knowledge management

• Experience in working with varied data types (structured and unstructured) and databases
• Experience in programming in scripting languages including R and Python with exposure to other platforms as a plus (i.e., Perl)
• Experience in using existing statistics/machine learning tools and ability to implement custom algorithms as needed.
• Experience in natural language processing tasks/algorithms.
• Experience with visualization tools (e.g., PowerBI, Spotfire)
• Strong inter-personal and communication skills to collaborate with technology implementation partners and drive to solutions with an Agile mindset

Additional Information :

• Familiarity with big data technologies (Azure/AWS) is preferred.
• Web development skills (html, javascript, web frameworks) are not formally required but a working knowledge may be useful to the position
• CMC development knowledge desired but not required.
• Successful interaction with senior engineering and scientific personnel
• Limited international travel (2 - 4%) will be required.
• Work hours flexibility to accommodate collaboration across multiple time zones