AddressLumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies around the world to generate evidence to demonstrate the value of their product, translate the science and data into compelling product narratives, and enable commercial decisions that position these products for success in the market. We do this through strategic and complimentary areas of focus: Asset Optimization and Commercialization, Value, Access, and Outcomes, Medical Strategy and Communications, and Real-World Evidence.
Responsibilities / Position overview
We are seeking a Senior Data Scientist to join our Real-World Evidence business. In this role, the Senior Data Scientist will perform analyses and (partial) assignments in a team with a focus on data processing and statistical analyses based on proprietary data from an exclusive partnership. You can be widely deployed in various projects. In this role, you are responsible the execution of analyses and (partial) assignment, including the quality of the substantive result and the implementation process. You will also be expected to contribute to the innovations within the business, contribute to workshops, and write publications.
Qualifications
- Completed academic training in the field of health/pharmacy or computer science.
- Knowledge and expertise with data science, RWE, statistical research, preferably in the field of (pharmaco)epidemiology
- Knowledge of and experience with programming (preferably SAS) and databases
- Experience with data analysis and manipulation
- Experience with the execution of research projects
- Adheres to security and compliance procedures
Benefits
We offer our employees a comprehensive benefits package that focuses on what matters to you – health and well-being, personal finances, professional development, and a healthy work/life balance:
- Competitive salary
- Attractive pension scheme
- Positive working atmosphere with committed colleagues and an enthusiastic management team.
- Flexible working hours and the possibility to work partly from home and more
