Quantify is growing rapidly, and we are now looking for a statistician, biostatistician or a quantitatively strong epidemiologist, economist, or other corresponding degrees, to join our RWE unit in Copenhagen as a Research Analyst, with start immediately (taking into account any applicable notice period).
For this particular position, we are looking for someone with a strong background in statistics and programming (preferably R), through university courses, thesis work and/or additional work experience. You should be familiar with data management and running statistical analyses, and be interested in deepening your knowledge in epidemiological and health economic study design.
To thrive at Quantify as a consultant, you have to be a flexible team player with strong communication skills, and strive to meet the needs of your clients, in addition to believing in our mission to improve health care for patients worldwide.

YOUR QUALIFICATIONS

• Master’s degree in statistics, epidemiology, economics, engineering, mathematical statistics, biostatistics, or another discipline with strong quantitative focus.
• Demonstrated skills, including solid hands-on experience, with statistics, statistical programming and/or data management in Stata or R, is a requirement
• A valid and current Danish work permit is mandatory
• Driven and curious with an independent, solutions-oriented “hands-on” mentality
• Ability to work effectively both independently and as part of a team, on multiple projects simultaneously
• Excellent communication skills (verbal and written) in English is mandatory
• Fluency in a Nordic language is a merit
• Prior evidence of academic publications is a merit
• Previous work experience from consultancy or health care sector is a merit

As a Research Analyst, you will be part of a diverse team responsible for the design and execution of various projects within Health Economics and Outcomes Research (HEOR). Examples of day-to-day activities include:

• Investigate data availability and quality in different Nordic databases
• Participate in the development of study protocols and statistical analysis plans
• Access and retrieve real-world data
• Develop code for data management and analysis in R or Stata
• Perform quality control of statistical code
• Prepare study reports and academic publications
• Communicate the results to internal or external teams

While independent, solutions-oriented work will be required from the start, you will be supported by experienced team members and mentors who will help guide your work and support your professional development.