Description
We are seeking a highly skilled and motivated Biostatistician to support our Research and Development team in evaluation of clinical retrospective outcome data for improving immunologic risk assessment in transplantation.
Tasks
You will play a crucial role in evaluating existing and novel prediction pipelines in the context of transplantation outcome data to aid in clinical risk assessment. Your key responsibilities will include:
- Collaborating with external partners on their clinical datasets
- Identifying and implementing appropriate and content-specific statistical models
- Data preprocessing and cleaning for statistical analyses
- Assessing results of prediction models
- Actively participating in agile development processes, advocating for best practices and contributing to continuous improvement initiatives.
The ideal candidate will have a strong foundation in statistics with 3+ years of hands-on experience working with clinical data and is located in Berlin (Germany) or Utrecht (Netherlands).
- Passionate about data and understanding its potential impact on patients
- Skilled in statistical methods such as survival analyses, regression analyses, linear models, significance tests
- Expert in R, proficient in Python
- Familiarity with common R data science libraries(e.g. tidyr, ggplot, survival)
- Familiarity with machine learning models such as neural networks, random forests or support vector machines
- Familiarity with Github and collaborative development
- Full professional proficiency in English language
- Comfort and adaptability in working with new and emerging technologies
- Effective at executing independent and group tasks in a self-organized way
- MSc in mathematics, biostatistics, computational biology or equivalent
- 3+ years hands-on experience in clinical research
- Experience working in a scientific environment
- Familiarity with immunology in HLA and transplantation is a plus
- Experience with artificial intelligence algorithms is a plus
In addition to a competitive salary package, we offer a range of comprehensive benefits tailored to the specific needs of our team members. We understand the importance of work-life balance and the unique considerations that come with different regions.