Anders Group: Open positions
Analysis of single-cell sequencing data
Single-cell sequencing offers exciting new means to study the interplay between cell types making up tissues and organs, in health and disease, but making full use of thise new type of data requires sophisticated bioinformatics. The Anders group at the Center for Molecular Biology of Heidelberg University is developing bioinformatical tools and statistical methods to process and interpret big data in biomedical studies, with a focus on single-cell assays. We are seeking
two computational scientists
to join our team. We welcome applications not only from bioinformaticians but also from physicists, mathematicians, computer scientists, statisticians, data scientists, engineers or from any other computational discipline. Prior experience in molecular biology is a plus, but not required.
Currently, we have openings for one PhD student and one post-doc.
For the post-doc position, we hope for prior experience in coding, scientific software development or data analysis, and some deeper understanding of multidimensional statistics, applied linear algebra or data science; for the PhD student position we expect a basic understanding of these topics, and potential to learn more.
We work in close collaboration with outstanding experimental biologists and physicians-scientists, and hence offer unique opportunities to develop and apply sophisticated biostatistical ideas for practical applications in cutting-edge biomedical research.
Specifically, the two vacancies are associated with the following two projects:
For both projects, we need scientists with ability to think mathematically, but also with enthusiasm for biology, and skills to communicate with experimentalists and translate between theory and application.
Please send your application to Dr. Simon Anders, email@example.com. Please include a CV, a cover letter with details on your skills and prior experience. If possible, please also include a "work sample" that show-cases you programming skills, e.g., some code you have written for a project or a course home work.