Sr. Manager, Advanced Data Analytics
Waltham, Massachusetts, United States
Full Time Senior-level / Expert USD 138K - 169K
- 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.
Tags: Computer Science Data Analytics Deep Learning GANs Generative AI Machine Learning Mathematics NLP Pharma Physics Python R Reinforcement Learning Statistics Unstructured data
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave Salary bonus
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