Postdoc in Computational Neuroepigenomics Research (mfd)
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Job Summary
About us
Background
Human brain development is spatially and temporally tightly controlled with sequential and precise orchestration of cellular and molecular programs. Any perturbation in these molecular programs can lead to detrimental effects. For example mutations in genes encoding epigenetic regulators especially the BAF chromatin remodeling complexes are frequently causative for neurodevelopmental disorders. These manifest in brain abnormalities intellectual disabilities and other physical aberrations. We still hardly understand the molecular mechanisms during human brain development mediated by these regulators and how their mutations manifest into the disease phenotypes.
BAF chromatin remodeler complexes are large multi-subunit complexes that can slide or eject nucleosomes and thereby regulate chromatin accessibility and gene expression. Recently we have shown that the maintenance of chromatin accessibility requires constant BAF complex activity and that perturbation of their function during brain development can result in severe molecular cellular and phenotypic alterations.
The position
Deciphering the role of BAF complexes in human brain development and neurodevelopmental disorders
As part of the chromatin regulation group you will work on a project addressing the cellular and molecular role of BAF chromatin remodelling complexes in human brain development and related diseases. For this project the differentiation of human induced pluripotent stem cell (hiPSC) into brain organoids in combination with genetic and pharmacological perturbations is used as a model system in combination with advanced cell and molecular biology techniques including bulk and single-cell genomics proteomics and microscopy. The project will include the analysis of the datasets data integration and statistical analyses. Additionally you will use machine learning and artificial intelligence to make additional predictions from data by training available machine learning algorithms or deep learning models. The project is funded by the European Union (ERC Starting Grant).
Tasks and responsibilities
Computational analysis of transcriptomics and epigenomic datasets
e.g. bulk and single cell (epi)genomics and proteomics data
e.g. bulk and single cell (epi)genomics and proteomics data
Multi-model data integration
Feature selection and prediction using machine and deep learning models
Data analysis documentation and presentation
Regular participation and presentation at (internal) meetings
Study of relevant scientific literature
Requirements
Highly motivated and creative researcher who enjoys computational analysis
data integration and machine learning
Experience in genomic and epigenomic data analysis and integration is required
Extensive experience in R/python shell script and reproducible research
Strong statistical knowledge and knowledge of statistical modelling of multi-model datasets
Knowledge of HPC or cloud-based systems
Experience in machine learning will be highly beneficial
Ability to work closely with wet-lab scientists
Enthusiasm about science especially with regard to neurodevelopmental processes
gene regulation and epigenetics
Ability to work precisely and good attention to detail
Ability to work independently as well as in a team
Very good oral and written communication skills in English
Why join us
We offer a stimulating diverse and international research environment with a pleasant working atmosphere and the opportunity to perform state-of-the-art experiments and analyses. The institute is modern well-equipped and centrally located with good public transport links and parking.
As a postdoc at IMB you will be part of our Postdoc Programme ( and benefit from advanced training in scientific techniques and professional skills mentorship and networking the IPPro we actively support your career development and assist you with raising funds for yourself and for your projects.
Our offer
- Remuneration according to TV-L EG 13 and supplementary pension scheme
- Advanced training opportunities
- flexible working hours
- Employee events
- Being part of the ERC Starting Grant SWItchFate
- Co-supervision by local and international experts in the field
What else you need to know
- Starting Date:June 2026 or later
- Duration:1 to 4 years
- Deadline:31.05.2026
Declaration of Consent and Data Protection
By sending us your application you are consenting to us saving your personal data in order to carry out the selection process. You can find more information on data protection and retention periods at we sparked your interest
To apply please use our application form and upload your cover letter CV certificates and at least two professional references. Should you have any questions regarding the application process please contact us by e-mail quoting the Ref. No. #SSPD03. For information about the position please contact Dr Sandra Schick-Nickolaus ().
IMB is an equal opportunity employer.
