Estonian Biocentre/Institute of Genomics, Ancient DNA Research Group
Dr. Christiana Scheib
25,944 euros per year gross (negotiable dependent on experience). The position is funded for 18 months with possibility to extend. For a cost of living comparison see: numbeo. Part-time and/or remote working is possible.
Ancient metagenomics are an increasingly important aspect of archaeogenomics studies. As part of several large-scale projects including an ERC Advanced Grant, Making Ancestors: The Politics of Death in Prehistoric Europe, we are generating hundreds of ancient shotgun libraries from teeth, bones, dental calculus and sediment samples. We are looking for a post-doctoral researcher who can 1) build a metagenomic database and pipelines for analysis of dental calculus, bone and soil samples to infer dietary, environmental information and 2) analyse datasets generated by our ongoing projects. Research questions of interest to our group include host-pathogen dynamics (historical and deep-time), impact of human dietary and cultural changes on disease susceptibility, the relationship between the oral microbiome and human health, and the relationship between bone metagenomic characterisation and funerary rites.
The ancient DNA research group at the Estonian Biocentre, Institute of Genomics is a friendly, growing group focused on producing exemplary research in the fields of ancient human population genetics, pathogen genomics and the emerging field of ancient meta-genome/proteomics. The lab is headed by Dr. Scheib (Associate Professor of Ancient DNA) and includes Dr. Tambets (Associate Professor of Population Genetics), post-docs, PhD students, Master’s students and two laboratory technicians. You can check out our lab on Research Gate and the official UT website.
Duties and responsibilities:
The research fellow will be carrying out research activity in the field of ancient DNA including the analysis of ancient metagenomic data and writing publications.
PhD in archaeogenetics, bioinformatics, bioarchaeology, biological anthropology, genetics, molecular biology, computer programming or related subjects. You must have knowledge and experience of bioinformatic analysis and be proficient in Python 3 and shell scripting.
Knowledge of other statistical languages such as R is helpful, though not required. You must have knowledge of and experience in dealing with large metagenomic datasets and experience with microbiome data would be ideal.
Required language skills:
01.08.2021 as earliest and 01.10.21 as latest