Demo

Fellowship - Real World Evidence / Clinical Data Science & Evidence

Initial Therapeutics, Inc.
Plainsboro, NJ Full Time
POSTED ON 1/24/2025
AVAILABLE BEFORE 4/23/2025

About the Department

The Clinical, Medical and Regulatory (CMR) department at Novo Nordisk is one of the most diverse and collaborative groups within the organization. From health-care-provider interactions and developing and implementing regulatory strategies with the FDA to providing medical education and collecting data to support efficacy and new product development, CMR is involved. The one thing that keeps us all marching to the same beat is our patient-centered focus. At Novo Nordisk, you will help patients around the world. As their needs evolve, so does our challenge to find better and more innovative ways to improve their quality of life. We’re changing lives for a living. Are you ready to make a difference?

The Position

Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.

The Novo Nordisk Real World Evidence (RWE) / Clinical Data Science & Evidence (CDSE) - Fellow is responsible for supporting planning and execution of observational research / Real World Evidence studies to support the Evidence and Insights Generation Plans (EIGPs) for specific areas of the Novo Nordisk portfolio. In addition, the incumbent may also coordinate other activities including but not limited to cross-functional team meetings, project team meetings and observational study protocol reviews. One of the key responsibilities for the fellow is leading specific research studies, as identified during the annual EIGP process to support the product strategy; the Fellow may also be involved in activities surrounding study execution, for example supporting the communication of study results across the organization. This is an experiential fellowship, and the fellow will gain valuable experience in observing the development of product strategy, engaging with cross functional teams, leading research projects, coordinating / managing research vendors, & budget management.

Relationships

The fellow will report to the Senior Director RWE during the program and will work closely with all colleagues in both the RWE and the broader CDSE department.

Essential Functions

  • Lead observational research projects and manage vendors, contracts and budget.
  • Interact with cross functional internal stakeholders as part of research projects.
  • Prepare protocols for internal approvals and engage reviewers during approval process.
  • Responsible for data dissemination for specific research projects – includes external and internal stakeholders, managing the publication planning process.
  • Work in close collaboration with colleagues within the CDSE team and also broader stakeholders across Novo Nordisk Inc for example Medical, Market Access, etc.
  • Communication and training of HEOR content.
  • Be involved, as appropriate, in broader initiatives executed through the CDSE department to further support the processes and development of RWE.
  • Throughout the fellowship the Fellow will also be expected to develop and publish a post-doc project; the RWD available to Novo Nordisk Inc will be available to support this project which will be anchored in the broader EIGP.

Physical Requirements

  • Approximately 10% overnight travel.
  • Qualifications

  • A PhD (either completed or ABD), in appropriate field of health economics, epidemiology, outcomes research, public health, or health services research.
  • Strong academic track record preferred.
  • Demonstrated leadership capabilities.
  • Presentable, highly articulate, goal-oriented, honest, with high integrity and strong ethics.
  • Track record of teamwork, innovation and project management.
  • Ability to think critically, strategically, and independently.
  • Possess good communication skills, both oral, written and presentation.
  • Demonstrate an ability to perform medical accuracy review with strong attention to detail.
  • Proficiency in Microsoft Office software applications such as PowerPoint, Excel and Word and overall computer skills with knowledge of literature search technique required.
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