Sr Data Scientist -- Pharma -- Claims -- SAS -- SQ...

Healthcare Intelligence Experts.

Symphony Health, part of the PRA Health Sciences family, is a team of curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients - life science manufacturers, payers, and providers - have today, as well as those they’ll have tomorrow. Together, we can help patients get the right drugs at the right times.

At Symphony Health, we also pride ourselves on being collaborative and customer centric, and we do this by focusing on five key values:

• Love the Customer by consistently exceeding expectations
• Focus on Brilliant Execution by being detailed and accountable
• Differentiate ourselves by providing innovative solutions
• Build a High-Performance Culture which does not accept mediocrity
• Make it Fun by connecting as one passionate high-energy team.

This is an exciting position available on our Advanced Analytics team. Utilizing successful experience in the healthcare data science industry, the Senior Data Scientist will be contribute crucial and time sensitive projects. Overall, the Senior Data Scientist is a self-motivated individual who leads independent data analysis prepares comprehensive reports, and presentations of data analysis findings for both internal and external clients, and also supports privacy redactions and drives project implementations, supporting revenue needs.

Primary Responsibilities:

• Uses predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and
  extract insights from structure and unstructured data.
• Develop algorithms and applications to apply mathematics to data, perform large scale experimentation and build data driven tools
  to translate data into intelligence. Provide insights into data patterns.
• Collaborate with cross-functional teams (customers, internal IT teams, etc.) to understand business needs, ensure data integrity
  and flow efficiency, and to create tools for customer utilization.
• Respond to inquiries and follow up on data validations
• Provide recommendations based on analyzed data to solve a variety of business problems and enable business strategy.
• Provide quality validations and on-going support of client and projects.
• Enhance or create new quality control methods to evaluate the accuracy of deliverable and/or project analysis.
• Manipulate and / or build query statements to perform data extracts across multiple data sets and platforms.

Core Responsibilities:

• Applies sound business practices, information and technology to current position; applies job knowledge and skills to produce quality work; continually updates technical and professional expertise and appropriate job requirements
• Produces clear tool extracts/reports to provide deliverables to customers that are clear and efficient.
• Contribute to RFPs and customer requests as necessary in collaboration with business development.
• Collaborate with IT group to transform and prepare data for analysis.
• Appropriately balances the quantity/quality of own work with the business situation; demonstrates enthusiasm, drive and a sense of urgency when completing work.
• Excellent verbal, written and presentation skills.
• Demonstrated analytical and assessments skills.
• Strong project management skills.
• Strong ability to translate data driving insights into decisions and actions.
• Demonstrated ability to think strategically and be proactive and collaborative

What do you have?

• Master’s degree in Data Science, Statistics, Mathematics or related field
• 4+ years of relevant experience in pharmaceutical data analysis, preferably with a deep understanding of pharma datasets such as claims
• Expert skills in SAS and SQL
• Experience in predictive modeling such as regression analysis, A/B testing, etc.

• Equivalent combination of education, training, and relevant experience may be considered in place of the education and experience stated above. All employees must read, write and speak fluent English and host country language.

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  This job description is intended to present the general content and requirements for the performance of this job. The description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.