Regeneron Pharmaceuticals-posted 9 days ago
Full-time • Mid Level
Onsite • Warren, MI
5,001-10,000 employees

Regeneron’s growing portfolio is accompanied by ever-increasing amounts of research and clinical data. We are seeking a leader in advanced analytics who can harness the power and insights within our data to improve Global Development (GD), making it more productive while delivering medicines to patients more efficiently and rapidly. Working with a team of data scientists, this position will develop both strategic and technical approaches to improve data access and quality; develop and implement AI/ML algorithms for predictive and descriptive analytics; and advise the GD organization on its overall data strategy. This position will be a key leader in GD’s Digital Transformation (DT) efforts and will work closely with the DT lead to address scientific and informatics challenges. This position will also be a liaison between the DT group and the broader scientific community in GD and all of Regeneron. As a Senior Director, a typical day may include: Establish and implement advanced analytical strategies to extract maximum value from our data. This may include answering clinical questions, using predictive analytics in trial design, automating document analysis and generation, automating development processes, etc. Supervise the development of prototype systems and approaches that, in partnership with IT, can scale to be used on an enterprise level Lead a team of data scientists and developers to create the technical tools and pipelines necessary to implement advanced analytic solutions Drive the development and implementation of cutting-edge analytic solutions, fostering seamless integration and strategic alignment across GD and other Regeneron business units (e.g., Commercial, Research, etc.) to enhance data-driven decision-making and organizational synergy. Collaborate with external partners (vendor, academic, scientific, etc.) to develop and implement relevant solutions Provide scientific and informatics leadership to GD’s digital transformation strategy with an additional focus on organizational change management. Proven ability to lead organizational change, particularly in adopting new technologies and processes, is a plus. Present the advanced analytic strategy to diverse stakeholders across GD and Regeneron and have the ability to influence senior executive leadership and non-technical audiences Develop KPIs to demonstrate the impact of advanced analytic strategies on GD cycle times and other relevant outcomes

  • Establish and implement advanced analytical strategies to extract maximum value from our data. This may include answering clinical questions, using predictive analytics in trial design, automating document analysis and generation, automating development processes, etc.
  • Supervise the development of prototype systems and approaches that, in partnership with IT, can scale to be used on an enterprise level
  • Lead a team of data scientists and developers to create the technical tools and pipelines necessary to implement advanced analytic solutions
  • Drive the development and implementation of cutting-edge analytic solutions, fostering seamless integration and strategic alignment across GD and other Regeneron business units (e.g., Commercial, Research, etc.) to enhance data-driven decision-making and organizational synergy.
  • Collaborate with external partners (vendor, academic, scientific, etc.) to develop and implement relevant solutions
  • Provide scientific and informatics leadership to GD’s digital transformation strategy with an additional focus on organizational change management.
  • Present the advanced analytic strategy to diverse stakeholders across GD and Regeneron and have the ability to influence senior executive leadership and non-technical audiences
  • Develop KPIs to demonstrate the impact of advanced analytic strategies on GD cycle times and other relevant outcomes
  • Proven track-record of developing and scaling advanced analytic solutions and advanced analytic strategies and programs in a healthcare or life sciences organization.
  • Demonstrated experience working with large-scale, complex datasets, particularly in the regulated healthcare or clinical trial setting; understanding of clinical data standards is preferred.
  • Demonstrated experience leading teams and overseeing multiple analytical projects, with a focus on guiding the development and implementation of AI/ML solutions.
  • Proven ability to develop and align data strategies that optimize data utilization, support organizational goals, and drive actionable insights.
  • Expertise in Python, R, or other programming languages, with a focus on applying advanced technical skills to data analysis, automation, and software development. Candidates should demonstrate proficiency in writing efficient, scalable, and maintainable code.
  • Proven expertise in evaluating and validating advanced analytic algorithms, ensuring accuracy, reliability, and reproducibility in clinical and research applications. Skilled in developing frameworks for model validation, enhancing data quality, and implementing quality assurance protocols.
  • Strong analytical and communication skills.
  • May require travel up to 20%.
  • Proven ability to lead organizational change, particularly in adopting new technologies and processes, is a plus.
  • A research track record with academic publications and/or academic grant support is preferred.
  • comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels!
  • For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/.
  • For other countries’ specific benefits, please speak to your recruiter.
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