Ecological Modeller, Biostatistician in Full Time

vor 1 Monat

Berlin, Deutschland Leibniz-Institut für Zoo- und Wildtierforschung Vollzeit

**ecological modeller, biostatistician**

**in full time (100 %)**

We seek a highly motivated scientist for the development and implementation of statistical and mathematical modelling on the persistence and transmission of antibiotic resistance in wildlife. You will work closely with bioinformaticians (a postdoctoral scientist appointed in the group of Sofia Forslund, Max Delbruck Center [MDC]) and with a second postdoctoral scientist appointed to promote transdisciplinary work between disease modelling and molecular computational biology. You will also interact closely with members of the group of Emanuel Heitlinger (IZW/ HU) on specifics of the main study system (wild rodent populations). You will participate in project meetings and prepare shared as well as independent publications. We maintain an open and inclusive perspective within and beyond our project group, so you will have the opportunity to interact with additional experts around the world.

**Specific tasks include**:

- Skills in multivariate data analysis and redundancy techniques for multidimensional data.
- Integrate knowledge and measurements derived from multiple levels of biological organisation, from geographical to molecular level, into those models.
- Refinement of models in collaboration with bioinformaticians and molecular computational biologists.
- Mathematical modelling of persistence and transmission based on knowledge derived from the statistical models.
- Preparation of manuscripts for peer-reviewed journals.

**Requirements**:

- PhD in Ecology, Biostatistics, Computer Science, or related areas.
- Good knowledge of English (ability to work in English, written and spoken).
- Prior experience with statistical and mathematical modelling.
- Previous experience with quality management of coding, especially with tools enhancing reproducibility, code sharing and version control.
- Good programming skills, ideally in R and/or Python.
- Interest and ability to work with a diverse community of scientists.
- Good interpersonal and communication skills.
- Knowledge of agent-based modelling is an asset.
- Experience in modelling of infectious disease transmission and wildlife systems is highly desirable.

We offer state-of-the-art methodology and a stimulating research environment with an interdisciplinary, collaborative approach.

The position will start earliest in **August 1st, 2023** and is limited to **1 year**. Working hours comprise **39 hours per week** (100 %), with salary according to TVöD (Bund).

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