Data Science Policy - Lexington, United States - Novo Nordisk

Novo Nordisk
Novo Nordisk
Verified Company
Lexington, United States

1 week ago

Mark Lane

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Mark Lane

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Description

About the Department


The team is comprised of approximately 1000 collaborative, diverse and passionate people who have a true sense of pride in their work and are committed to helping others grow and develop their careers.

You'll also have a platform to engage with key stakeholders on a global scale throughout the entire pipeline process.

And while changing the future of diabetes and obesity treatment is no easy task, we also recognize the importance of an enjoyable workplace, which is why we've cultivated a culture of fun, ingenuity and innovation.

And our competitive compensation package and support of a healthy work-life balance all add to a best-in-class employee experience. We are changing lives for a living. Are you ready to make a difference?


The Position


As leaders of the Data Science External Affairs team at Novo Nordisk, we are a dynamic and multi-disciplinary group, consisting of data scientists, technologists, policy experts, strategists, and operational experts.

We are dedicated to forging innovative external partnerships that propel our clinical trials and Development organization to new heights.

Our collective expertise and vision are focused on the integration of novel and advanced data science capabilities and methodologies, shaping policy strategies, and collaborating with industry stakeholders to drive impact for our patients.


We are seeking an enthusiastic leader to be at the forefront of bridging the gap between advances in data science and the evolving regulatory and policy landscape.

As Director, Data Science Policy and Engagement in Novo Nordisk's Development Data Science organization, you will lead external engagements that advance innovative data science methodologies and ensure alignment with global regulations, guidance, and policy.

Utilizing your expertise, you will advocate for the acceptance and alignment of innovative data science methodologies with global regulations and guidelines, positioning Novo Nordisk as a leader in the responsible and impactful use of emerging technologies.

Your leadership will be instrumental within prioritized data science areas, including real world evidence, artificial intelligence (AI), machine learning, digital health technologies (DHT), decentralized trials, and other opportunities that are transforming the pharmaceutical landscape.


The role requires a thorough understanding of the global regulatory environment and the needs of agencies in the US, EU, and other key markets.

It will be critical to understand and communicate how trends in technology and policy will impact our organization with strong collaboration across our Data Science organization, Global Regulatory Affairs, IO, and NAO.


If you are passionate about driving meaningful change in the pharmaceutical industry through innovative data science methodologies, this role offers an exciting opportunity to lead and shape the future of data science policy and engagement at Novo Nordisk.

Join us in making a difference and driving impact for patients worldwide.


Relationships
This position reports to the Vice President, Data Science External Affairs in Novo Nordisk's Data Science Development organization.

The Data Science Policy Lead is a key senior expert in the Data Science External Affairs group, leading and coordinating Data Science partnerships across various stakeholders in the value chain.


As Data Science Partnerships is a new function, you will play a key role in helping build this area for both the Data Science team, but also for Global Development and the company more broadly.

Therefore, the position will have multiple touchpoints both within Data Science and critical Novo Nordisk stakeholders. The role will also be responsible for identifying external partners to support our studies and business needs.


Essential Functions

  • External Engagement and Alliances: Lead interactions to explore and advance innovative data science methodologies, ensuring alignment and acceptance with global regulations and guidelines. Present at, or support other NN presenters at external workshops, conferences, and meetings, including those with regulators and academia
  • Landscape Analysis and Prioritization: Proactively identify and evaluate opportunities to generate data science methodologies designed to inform both internal and external decisionmaking processes. Communicate new regulatory requirements, guidelines, and trends within preagreed priority focus areas to relevant product/development project teams, regions, and management teams. Anticipate internal and external business challenges and issues and recommend and implement process updates and external strategies to address them
  • Pilot or

Collaboration Development:
Drive the development and oversee the implementation of pilots and other pioneering approaches to demonstrate the potential impact of data science in informing regulatory decision-making processes

  • Policy Strategic Planning: Collaborate with internal an
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