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Postdoc in Computational Neuroepigenomics Research(m/w/x)
Computational neuroepigenomics research at a cell nucleus biology institute. Multi-model data integration and machine learning feature prediction required. Supplementary pension scheme, advanced training.
Requirements
- Motivation and creativity in computational analysis, data integration, and machine learning
- Experience in genomic and epigenomic data analysis and integration
- Extensive experience in R/Python, shell script, and reproducible research
- Strong statistical knowledge and statistical modelling of multi-model datasets
- Knowledge of HPC or cloud-based systems
- Machine learning experience (highly beneficial)
- Ability to work closely with wet-lab scientists
- Enthusiasm for science, especially neurodevelopmental processes, gene regulation, and epigenetics
- Precise work and good attention to detail
- Ability to work independently and in a team
- Very good oral and written communication skills in English
Tasks
- Analyze transcriptomics and epigenomic datasets
- Conduct multi-model data integration
- Select and predict features using machine learning
- Document and present data analysis results
- Participate in and present at internal meetings
- Study relevant scientific literature
- Perform computational analysis of bulk and single cell data
- Integrate proteomics data into analyses
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- shell script
- HPC
- cloud-based systems
- machine learning
Benefits
Retirement Plans
- Supplementary pension scheme
Learning & Development
- Advanced training opportunities
Team Events
- Employee events
Mentorship & Coaching
- Mentorship
Career Advancement
- Networking opportunities
- Career development support
Social Impact
- Fundraising assistance
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Postdoc in Computational Neuroepigenomics Research(m/w/x)
Computational neuroepigenomics research at a cell nucleus biology institute. Multi-model data integration and machine learning feature prediction required. Supplementary pension scheme, advanced training.
Requirements
- Motivation and creativity in computational analysis, data integration, and machine learning
- Experience in genomic and epigenomic data analysis and integration
- Extensive experience in R/Python, shell script, and reproducible research
- Strong statistical knowledge and statistical modelling of multi-model datasets
- Knowledge of HPC or cloud-based systems
- Machine learning experience (highly beneficial)
- Ability to work closely with wet-lab scientists
- Enthusiasm for science, especially neurodevelopmental processes, gene regulation, and epigenetics
- Precise work and good attention to detail
- Ability to work independently and in a team
- Very good oral and written communication skills in English
Tasks
- Analyze transcriptomics and epigenomic datasets
- Conduct multi-model data integration
- Select and predict features using machine learning
- Document and present data analysis results
- Participate in and present at internal meetings
- Study relevant scientific literature
- Perform computational analysis of bulk and single cell data
- Integrate proteomics data into analyses
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- shell script
- HPC
- cloud-based systems
- machine learning
Benefits
Retirement Plans
- Supplementary pension scheme
Learning & Development
- Advanced training opportunities
Team Events
- Employee events
Mentorship & Coaching
- Mentorship
Career Advancement
- Networking opportunities
- Career development support
Social Impact
- Fundraising assistance
About the Company
IMB
Industry
Research
Description
Das IMB ist ein Forschungszentrum, das Grundlagenforschung in Genregulation, Genomstabilität und Biologie des Alterns betreibt und von der Boehringer Ingelheim Stiftung und dem Land Rheinland-Pfalz gefördert wird.
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