Trial Insights Manager

Novo Nordisk A/S

Søborg

Remote

DKK 651,000 - 957,000

Full time

3 days ago
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Job summary

Novo Nordisk A/S seeks a Trial Insights Manager to lead analyses shaping where global trials run. You will synthesize data across sources to guide feasibility, enrolment forecasts, and operational decisions for Phase I–IV trials.

You will work with cross-functional stakeholders, translate complex data into actionable recommendations, and contribute to scalable analytic tooling and standards. This role offers significant impact and collaboration across TP-AP and R&D.

Qualifications

  • Master’s degree or equivalent in a relevant field.
  • Significant experience in analytics, clinical operations, trial planning or data science.
  • Strong analytical and problem-solving skills with ability to handle ambiguity.
  • Experience with SQL, Power BI, Python or R; data integration and dashboards.
  • Experience with cross-functional stakeholders and translating data into business recommendations.

Responsibilities

  • Lead analytical work packages supporting country allocation and feasibility.
  • Conduct analyses to aid feasibility assessment and enrolment forecasting.
  • Define analytical approaches and integrate multiple data sources for trial planning.
  • Develop and quality assure analytical input on country allocation scenarios.
  • Translate data and insights into clear recommendations for decision-making.
  • Plan and deliver analytical projects with stakeholder mapping and timelines.
  • Build and maintain analytical tools, dashboards and data pipelines.

Skills

SQL
Power BI
Python
R
Excel
Cross-functional collaboration
Stakeholder management
Communication

Education

Master’s degree or equivalent in life sciences, data science, statistics, economics, engineering, business administration or similar

Tools

Power BI
Python
R
Excel
SQL

Job description

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As Trial Insights Manager in Trial Performance Insights, you will lead the analysis that shapes where global Phase I–IV clinical trials run. You will turn data from multiple sources into clear, evidence-based country allocation recommendations for trial planners and Clinical Operations teams. Your work will inform feasibility, enrolment forecasts and operational decisions, helping trials start on solid ground and move forward at pace for people living with serious chronic diseases.

What you’ll bring
  • A Master’s degree or equivalent in life sciences, data science, statistics, economics, engineering, business administration or another relevant field.
  • Significant experience in one or more of the following areas:analytics, clinical operations, trial planning, feasibility, data science, consulting or related R&D business support.
  • Strong analytical and conceptual problem-solving skills, and the ability to handle complexity and ambiguity with limited predefined procedures.
  • Strong experience with analytical tools such as SQL, Power BI, Python, R, Excel or similar is preferred; alternatively, a strong background in clinical operations is equally valued.
  • Experience with scenario modelling, analytical tool development, data integration, dashboards or reproducible analytics.
  • Experience working with cross-functional stakeholders and translating complex data into business recommendations.
  • Strong stakeholder management and influencing skills, with clear communication and presentation skills.
  • A quality mindset focused on traceability, reproducibility and documentation.
  • The ability to coach or guide less experienced colleagues.
  • Training in advanced analytics, project management, clinical trial operations or data engineering.
What you’ll do
  • You will act as a lead analytical contributor in trial support, running complex analyses and selected projects with trial planners, Clinical Operations and stakeholders inside and outside TP-AP.
  • Lead analytical work packages that support country allocation, feasibility assessment, enrolment forecasting and operational decisions for global Phase I–IV trials.
  • Define analytical approaches, integrate multiple data sources and run scenario analyses to deliver robust outputs for medium and high-complexity trial planning questions.
  • Develop and quality assure analytical input on country allocation scenarios, recruitment assumptions and operational feasibility.
  • Translate data and operational insight into clear recommendations, and facilitate data-driven dialogue that explains assumptions and builds alignment.
  • Plan, scope and deliver analytical projects, including stakeholder mapping, timelines and risk identification.
  • Build, test and maintain analytical tools, dashboards, reusable code and data pipelines, and drive automation and scalability of methods and outputs.
  • Document assumptions, data sources, limitations, methodology and review steps transparently, and help shape standards for data, analytics and quality review.
Who you’ll work with

You will join Trial Performance Insights in Research & Development, where colleagues bring together curiosity, data, technology and collaboration to help advance scientific ideas into clinical testing.

Your closest partners will be trial planners and Clinical Operations teams, who rely on your analysis to make country allocation and feasibility decisions. You will also work with colleagues in TP-AP, Global Trial Allocation and related R&D functions to align on assumptions, share better practice and develop common analytical standards. The work covers global trials, so you will bring different perspectives together, create clarity and help teams move from insight to decision.

What you can expect here

You will work on complex questions with real influence on how trials are planned. You are trusted to own your work, make your voice heard and shape the standards and tools your colleagues use. You will grow through hands-on project delivery, collaboration across R&D functions and the chance to coach colleagues, in an environment that supports you to perform at your best.

Salary:

For this role, the Annual Base Salary ranges from DKK 651,200 to 956,900, corresponding to the level of the position. The placement within the salary range will be assessed during the recruitment process based on the candidate’s skills, competencies, knowledge, and relevant experience.

Incentives and Benefits:

The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks. Learn more about our Reward Philosophy here.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

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