Data Scientist, Data Sciences & Risk Management (1 of 2) 1045 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