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Data Scientist, Data Sciences & Risk Management (1 of 2) 185 views

The Data Scientist is a core member of the Health Care Compliance & Privacy (HCC&P) Global Operations Center of Excellence team, reporting to the Sr. Manager, Data Science & Risk Management. You will be responsible for partnering with Global Operations team members (Compliance & Technology Integration, Testing & Monitoring, Regional Centers of Excellence); the Franchise / Company HCC&P Compliance Officers and business partners to identify, develop and implement innovative solutions that enhance our data, analytic & visualization capabilities.

As The Data Scientist

  • You will be responsible for Identifying and understanding key business questions to be addressed using the appropriate analytical approaches
  • You will model data to build innovative solutions to solve complex analytical problems;
  • You will lead or support projects that will facilitate advancement in predictive analytics;
  • You will develop methodologies that allow for efficient and repetitive data extraction; using existing and new databases (structured & unstructured) focused on identifying potential compliance risk areas
  • You will provide input/recommendations to the Data Science & Risk Management Governance team regarding development, standardization and delivery prioritization
  • You will partner with Data Science & Risk Management and Compliance & Technology Integration team members to evaluate and develop system platforms and technology to enhance their data science capabilities

Required

Qualifications

  • A minimum of a Master’s degree with 2 years of experience or Ph.D. degree in, Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline.
  • Experience with data mining methodology, common modeling techniques, and presenting data insights
  • Good analytical skills. You should be able to analyze and interpret complex data from multiple sources using R, Python, SAS, Java, SQL
  • Broad knowledge of existing data science techniques (such as decision trees, clustering, regression, neural networks, Bayesian models) and creativity to invent and customized algorithms when necessary
  • Experienced working in a multinational environment and with cross-functional and/or cross-sector teams
  • Excellent English verbal and written communication skills, including formal presentation skills
  • Ability to successfully lead multiple critical priorities/issues
  • Ability to influence, negotiate and communicate with both internal and external customers is required
  • Must be able to travel up to 10% of the time, mainly to domestic destinations.
  • This position can be based in New Brunswick, NJ; Toronto, Ontario Canada; or Guelph, Ontario Canada.

Preferred

  • Project Management and/or Process Excellence training/certification
  • You are a highly motivated individual with demonstrated analytical, communication and social skills. A keen data science curiosity and strong leadership skills are important in their entrepreneurial, fast-paced work environment.
  • Previous experience within the pharmaceutical, consumer and/or medical device industries
  • Experience in identifying viable data mining opportunities and then conceive, develop and implement end to end data analytical solutions

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