Payer Sciences is an analytics-based marketing firm that helps pharmaceutical and biotechnology clients with payer-related opportunities and challenges.
The Payer Sciences team uses data-driven insights to generate innovative strategic recommendations to help our pharmaceutical clients navigate today’s complex and dynamic managed care marketplace. By harnessing existing data sets and utilizing advanced analytics to extract insights into payer behavior, we support our clients’ pricing, contracting, and market access strategies and develop creative and impactful ways to communicate the value of their products to reimbursement stakeholders. Our goal is to enable our clients to target and optimize interactions with reimbursement stakeholders and maximize their commercial success through optimal coverage. Our evidence-based, analytics-driven approach to address payer-related challenges combines our considerable expertise in data analytics and insight into pricing and market access to deliver wide-ranging research, analysis, insight generation, and strategic reporting.
Work with both internal and external business owners to identify the reporting and analysis needs of our clients, and translate these requirements into custom tools and analyses that meet the business objective(s)
Effectively communicate analytic methodology and summary of results and insights to internal stakeholders and clients
Process, validate, maintain and integrate large data sets from multiple sources
Ensure the accuracy and validity of both source data and analytic output
Prepare clear documentation of project specifications, program development and revisions
Proactively anticipate and identify time management issues and work with team members to address them
Minimum of a BS degree in a technical or quantitative discipline
At least 8 years’ experience in data analytics or data science roles
5+ years pharmaceutical/biotech industry experience
Highly proficient and experienced in one or more programming languages such as SQL, Python, R, or SAS with advanced knowledge of SAS strongly preferred; willingness to learn SAS is a must
Flexible and collaborative style
Professional maturity, discipline and a positive attitude
Must work independently, but interact well with others in a team environment
Must be able to adapt and work efficiently under evolving demands and priorities
Ability to efficiently process and integrate large, complex datasets
Strong analytical and problem-solving skills, with good attention to detail
Excellent oral and written communication skills
Ability to use creative thinking to develop innovative solutions to business problems
Strong project management skills, including the ability to manage multiple projects simultaneously
Relocation is not offered
Professional maturity, integrity, discipline, and a positive attitude.
Ability to work in a fast-paced, team environment.
All your information will be kept confidential according to EEO guidelines.