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We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions.
As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace.
Position Summary:
The data science team works closely with the company’s finance, pricing and analytics teams to develop algorithms that create competitive advantage for the company. The Data Scientist designs and implements the algorithms needed to optimize pricing and marketing spend allocation for our direct-to-consumer business. Working within the confines of our retail pharmacy
contracts, the Data Scientist works to maximize prescription savings for our customers and margins for the company. The Data Scientist may also support pharmacy benefit design creation, evaluation for overall effectiveness, both financially and clinically.
Essential Duties and Responsibilities:
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Partner with Analytics Engineering to source needed data and ensure data is transformed and quality controlled in a format suitable to enable the required analysis.
- Use SQL, Python and Open-source machine learning packages to create predictive models for audience segmentation, marketing response rates, demand forecasting, reversal rates, price elasticity estimation, and lifetime value estimation.
- Designs product and pricing experiments as well as frameworks to measure their impact; may include measurement of prescription demand, activation rates, pricing sensitivity and reversal rates.
- Designs and implements optimization algorithms to set specific drug pricing to maximize net script volume, activations and margin while meeting aggregate level contractual constraints and strategic competitive positioning requirements.
- Coordinate with marketing, finance, engineering and product teams to implement models and monitor outcomes.
- Develop processes and tools to implement A/B testing and monitor and analyze model performance and data accuracy.
- Create dashboards to monitor and visualize performance of the algorithms and identify issues that require attention.
Qualifications:
- Master's degree or equivalent; or four to ten years related experience and/or training; or equivalent combination of education and experience.
- 1-3 years of experience building statistical/machine learning models and conducting in-depth analyses
- A solid grasp on both theory and application of statistical modeling and an understanding of how to balance academic research with practical implementation
- Advanced Python skills
- Strong database knowledge and solid experience in SQL
- Experience solving constrained optimization problems using commercial and/or open-source software packages
- Experience with Tableau or other visualization tools
Salary Range: $85,000 - $127,000
RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.
In Office Policy: Candidates within a commutable distance to one of the offices listed below will be expected to commit to a hybrid in office schedule if selected.
- Boston, MA
- Princeton, NJ
- New York City, NY
- West Palm Beach, Florida
RxSense Boston, Massachusetts, USA Office
99 High St, Boston, Massachusetts, United States, 02110
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