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Sr. Manager, Advanced Data Analytics
ArdelyxUnited Statesfull_timeVerifiedPosted 14 Feb 2025
💰 $169,499/yr($138,681/yr – $169,499/yr)
About the role
Ardelyx is a publicly traded commercial biopharmaceutical company founded with a mission to discover, develop and commercialize innovative first-in-class medicines that meet significant unmet medical needs. Ardelyx has two commercial products approved in the United States, IBSRELA® (tenapanor) and XPHOZAH® (tenapanor). Ardelyx has agreements for the development and commercialization of tenapanor outside of the U.S. Kyowa Kirin commercializes PHOZEVEL® (tenapanor) for hyperphosphatemia in Japan. A New Drug Application for tenapanor for hyperphosphatemia has been submitted in China with Fosun Pharma. Knight Therapeutics commercializes IBSRELA in Canada. Senior Manager, Advanced Data Analytics As the Sr. Manager, Advanced Data Analytics, the successful candidate will be leveraging advanced analytics, machine learning, and generative AI techniques to extract insights from complex commercial datasets. The incumbent’s primary goal will be translating these insights into actionable strategies that optimize commercial execution across both brands. Your expertise in generative AI will be crucial for identifying and exploring new opportunities, driving innovation, and advancing Ardelyx’s commercial operations and boosting sales performance. If you’d like to help establish Ardelyx as a leading company in the biopharma industry, one that advances patient care with novel therapies that meet important clinical needs, come join us! Responsibilities
- Apply machine learning techniques, including deep learning and generative AI, to analyze diverse datasets (structured and unstructured) and generate actionable insights.
- Communicate findings and recommendations to Commercial stakeholders through clear, compelling visualizations, presentations, and reports.
- Develop advanced algorithms to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
- Execute and manage projects demanding the application of advanced analytics techniques (e.g., descriptive/inferential statistics, machine learning, NLP, and Neural Networks) on large, unstructured data sets to identify key actionable insights.
- Lead a team of consultants and data scientists, driving data-driven strategies and insights.
- This role involves end-to-end project management, ensuring seamless execution of analytical initiatives to support business objectives.
- Requires a Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics), or Ph.D. preferred.
- 8+ years of experience in data science, with a proven track record of delivering impactful solutions in the pharmaceutical and life sciences industry.
- Experience working with Komodo/IQVIA/PurpleLab patient claims data.
- Strong proficiency in machine learning, statistical analysis, and data manipulation using Python, R, or similar state-of-the-art tools.
- Experience with generative AI development and associated techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and RL (Reinforcement Learning), preferred.
- Excellent communication and collaboration skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences.
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