Statistical Postdoc / Scientific Programmer: Join a dynamic research project, “Enhancing the validity of statistical analyses with DHARMa,” as a full-time Statistical Postdoc / Scientific Programmer (m/f/d) for a 3-year appointment. The position is also suitable for part-time employment, and the salary is according to TV-L E 13.
Designation: Statistical Postdoc / Scientific Programmer
Research Area: Development of the R package DHARMa for residual diagnostics of generalized linear mixed models (GLMM)
Location: Regensburg, Germany (with negotiable home office options)
Eligibility/Qualification:
- University degree (Master, Diploma, or comparable) in statistics, data science, or a related subject
- Very good knowledge of the R environment and experience in developing R packages
- Expertise in generalized linear mixed models, practical use of common R packages (e.g., lme4, gammTMB), and theoretical understanding of these models
- PhD in applied statistics is helpful but not mandatory
- Knowledge of the DHARMa package is an advantage
Job Description: Your tasks will include advancing the development of the R package DHARMa for residual diagnostics of generalized linear mixed models. Additionally, you’ll be responsible for preparing teaching and training materials for DHARMa, researching new methods in GLMM model diagnostics, and publishing scientific articles. The work offers a mix of end-user-oriented software development and basic statistical research.
How to Apply: Interested candidates should submit their application, including a CV, to the designated contact. The position is funded by the German Research Foundation as part of an initiative to strengthen free scientific software.
Last Date for Apply: Open until filled
Contact Information: For inquiries and application submission, please contact the project coordinator at contact_email@example.com.
Table: Position Details
| Position | Statistical Postdoc / Scientific Programmer (m/f/d) |
|---|---|
| Hours per Week | Full-time (40 hours) |
| Appointment Duration | 3 years |
| Salary | TV-L E 13 |
Table: Eligibility/Qualification
| Degree | University degree (Master, Diploma, or comparable) in statistics, data science, or related subject |
|---|---|
| Experience | Very good knowledge of the R environment and experience in developing R packages |
| Expertise | Expertise in generalized linear mixed models, including practical use of common R packages and theoretical understanding |
| Additional | PhD in applied statistics is helpful but not mandatory; Knowledge of the DHARMa package is an advantage |
Table: Job Benefits
| Benefits | Collaborative work in a dynamic research group, flexible working hours, opportunities for international networking, collegial working atmosphere, support for training and career planning, possible home office option (negotiable based on qualifications and personal situation) |
Table: Project Information
| Project Funding | German Research Foundation initiative to strengthen free scientific software |
|---|---|
| Project Aim | Extend the functionality and usability of DHARMa for residual diagnostics of generalized linear mixed models |
