Job Responsibilities
1. Analyze clinical and digital biomarker data from various studies to develop and improve our digital biomarker solutions.
2. Support the digital biomarker evidence generation activities with statistical modeling and analysis expertise.
3. Be responsible for a work package: break down a business question into planned work, following up of work in progress, risk assessment, communicating on progress and results, reading literature, writing reports and publications.
4. Contribute to development and maintenance of statistical analysis pipelines.
Minimum Requirements
1. Minimum Masters degree in biomedical engineering, bioinformatics, statistics, computer science, engineering or related technical fields.
2. Solid experience and in-depth knowledge of applying statistical methods such as linear mixed effect models, mixed models for repeated measurements and survival analyses.
3. Proficient with Python and R (e.g. Pandas, SciPy, mmrm, lme4, matplotlib, seaborn, plotly, ggplot).
4. Sound knowledge of best software development practices: unit testing, documentation, version control.
5. Ability to discuss with and understand various stakeholders (data scientists, clinical managers, biostatisticians, business development managers).
6. Strong analytical and statistics skills combined with conceptual thinking and structured working style.
7. Excellent English communication skills, both written and spoken.
8. Experience with regulatory frameworks such as V3 and experience with working in a cloud environment (advantageous).
9. Disease and clinical trial knowledge, especially in movement disorders (advantageous).
Work Environment
You will work in an international environment in a very renowned company.
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