Data Scientist 1
Symphony Health, a wholly owned subsidiary of PRA Health Sciences, is a leading provider of high-value data, analytics, technology solutions and actionable insights for healthcare and life sciences manufacturers, payers and providers. The company helps clients drive revenue growth and commercial effectiveness, while adapting to the transformation of the healthcare ecosystem, by integrating a broad set of patient, prescriber, payer and clinical data together with primary and secondary health research, analytics and consulting. Symphony delivers a comprehensive perspective on the real dynamics that drive business in the healthcare and life sciences markets.
At Symphony Health, we pride ourselves on being Collaborative and customer centric. 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
- Leapfrog the Competition by Differentiating ourselves and providing innovative solutions
- Build a High-Performance Culture that does not accept mediocrity
- Make it Fun by Connecting as one passionate high-energy team.
Connect with Symphony! Collaborate with Customers! Differentiate Yourself!
This is an exciting position available on our Advanced Analytics team. Utilizing successful experience in the healthcare data science industry, the Data Scientist will be contribute crucial and time sensitive projects. Overall, the 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?
- 2 years’ relevant experience in the commercial healthcare industry.
- Experience working with prescription and patient claims data preferred.
- Knowledge of machine learning and predictive modeling.
- Knowledge of relational databases, scripting languages, and statistical computing packages, including R, Python, Hadoop, and Oracle
- Knowledge of applied statistics, including regression models.
- Excellent written and oral communication skills.
- Master’s degree in Statistics, Data Science, Mathematics or similar subject, or international equivalent
*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.
*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.
PRA is an EEO/AA employer and is committed to providing opportunities to minorities, women, veterans and individuals with disabilities.