Director, Data Science - Ophthalmology

Regeneron Pharmaceuticals-posted 2 months ago
$180,400 - $300,700/Yr
Full-time • Senior
Hybrid • Sleepy Hollow, NY
5,001-10,000 employees
Chemical Manufacturing
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The Director, Data Science (Ophthalmology) role is a part of the Insights & Analytics team under Commercial Strategy. In this role, a typical day might include collaborating with business partners, service owners, and IT peers to develop predictive and prescriptive models and insights for Ophthalmology CBU within the US Commercial Organization. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques to help Regeneron with its mission of getting patients the therapies they need.

  • Leverage data science, machine learning, and artificial intelligence capabilities to drive marketing and sales execution effectiveness for the Ophthalmology CBU.
  • Contribute to cross-functional teams on projects and/or programs to derive integrated insights that deliver substantial business value to Ophthalmology CBU patients.
  • Identify business needs and propose potential analytics approaches for solutions.
  • Manage high-performing internal/external analytics team to ensure key projects are delivered with timely and key business insights/actions.
  • Build high-performance algorithms, prototypes, predictive models, and proof of concepts using Python, R, SAS, SQL and/or other tools.
  • Create prototypes and demonstrations to better access and utilize data assets.
  • Collaborate cross-functionally with stakeholders to develop use cases that are relevant to the business.
  • Manage and maintain promotional response models and lead marketing mix and attribution modeling work.
  • Present analysis ideas, progress, and results to business partners.
  • Ensure systems meet business requirements and industry best practices.
  • Assure compliance with regulatory, security, and privacy requirements as it relates to data assets.
  • Master's degree completed by start date and 10+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelor's degree and 12+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
  • Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.
  • 7+ years of data science and analytics experience.
  • Experience with databases including relational, NoSQL, and Graph.
  • Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, Keras, TensorFlow, Pytorch, etc.
  • Write well-abstracted and reusable code in Python, R, or Scala; freely navigate in Linux environment; stand up web applications; documentation, version control, and code review.
  • Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills.
  • Excellent organization/planning skills and talent for managing many large and complex datasets.
  • Ability to set up analytics bench/infrastructure to build data science capabilities.
  • Provide analytics guidance for brand performance analytics and internal team members.
  • Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end.
  • Ability to communicate analysis in a clear, precise, and actionable manner.
  • Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.).
  • Passion for learning and staying on top of current developments in advanced analytics.
  • Biotech / Pharma experience required.
  • Health and wellness programs
  • Fitness centers
  • Equity awards
  • Annual bonuses
  • Paid time off for eligible employees at all levels
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