Director of Data Science and Analytics

🕒 2 days ago

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MedAdvisor Solutions US

201 - 500 employees

⚕️ Healthcare Insurance

💊 Pharmaceuticals

☁️ SaaS

Healthcare Insurance • Pharmaceuticals • SaaS

MedAdvisor Solutions US is a company that partners with pharmacies and pharmaceutical companies to deliver personalized patient engagement solutions aimed at simplifying the medication management journey and improving health outcomes. They offer data-driven, omnichannel engagement solutions that elevate patient engagement, streamline pharmacy workflows, and drive revenue growth. Their patient engagement programs, supported by AI-powered analytics, help to increase adherence to medications, support new-to-brand patients, and reduce medication void rates. With over 30 years of experience, MedAdvisor Solutions covers over two-thirds of the US population.

📋 Description

• This client-facing position is responsible for supporting MedAdvisor Solution’s sales, marketing, and retail groups by leading program evaluations/measurements, analytical research, and ad hoc analyses of patient adherence, awareness, and educational programs by utilizing data across communication channels. • Present research/program designs and analytical findings to pharmaceutical manufacturer clients and business partners. • Design, manage, and conduct prescription drug measurements of adherence and awareness programs using statistical methodologies for pharmaceutical manufacturer clients and retail pharmacy partners in support of Sales initiatives. • Using prescription- and patient- level data, conduct data analyses, data mining, and predictive modelling to inform the design, strategy, and measurement of patient programs. • Provide insight to the sales organization regarding appropriate sales strategies and tactics using information and research findings. • Ideate and recommend revisions/improvements to the program measurement methodologies and designs. • Collaborate with and provide guidance to analysts by providing guidance in problem-solving and analytical consultation.

🎯 Requirements

• Masters or Ph.D. in statistics, math, data science, or a related field or equivalent experience • 10+ years of experience • Demonstrable experience in the following: Data analysis/data mining • Presenting consultative analytics insights to internal and/or external customers • SAS, SQL, Python, R, or other statistical programming languages • Exceptional communication and storytelling skills • Analytical mindset with fluency in data-driven decision making. • Desired experience in the following: Omni-channel promotions • Pharmacy operations and patient communications/marketing

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