Dein persönlicher KI-Karriere-Agent
.Biological Data Scientist(m/w/x)
Research microbial functional genomics and model metabolic interactions. Advanced programming skills and large-scale data analysis experience required. Salary free of income tax, monthly family and child allowances.
Anforderungen
- Ph.D. degree or equivalent working experience in bioinformatics, computational biology, biostatistics, or related subjects
- Substantial experience in scientific computing and/or software development
- Experience with large-scale data management and analysis
- Advanced skills in a high-level programming language (>2 years of experience)
- Experience in data analysis, statistics and visualization (e.g., Python, R, or MatLab)
- Ability to work independently and in a team
- Ability to work at the interface between life sciences and informatics
- Willingness to learn new skills and programming languages
- Good communication and interpersonal skills
- Good English language skills
- Experience with metagenomics and metatranscriptomics analyses
- Familiarity with high-throughput sequencing, proteomics and/or metabolomics data acquisition and analysis
- Experience in multi-omics data integration
- Familiarity with genome-scale metabolic modelling
- Familiarity with machine learning methods and approaches
- Experience in mathematical modeling of dynamic systems (e.g., MatLab SimBiology, Python ModSimPy)
- Experience with compute clusters (e.g., SGE, slurm)
- Experience with pipelines of batch jobs (e.g., Snakemake, Luigi)
- Dry- or wet-lab experience in microbial sciences or microbiome research
Aufgaben
- Conduct independent research projects
- Engage in scientific collaborations
- Support group with bioinformatics and data analysis
- Research microbial functional genomics
- Model metabolic interactions
- Build predictive models of microbiome functions
- Develop and maintain bioinformatics software
- Adapt existing code and pipelines
- Provide programming and statistics support
- Handle large-scale data from mass-spectrometry and sequencing
- Establish infrastructure and data management systems
- Manage internal and external data systems
Berufserfahrung
- 2 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – fortgeschritten
Tools & Technologien
- Python
- R
- MatLab
- metagenomics
- metatranscriptomics
- high-throughput sequencing
- proteomics
- metabolomics
- multi-omics
- genome-scale metabolic modelling
- machine learning
- SimBiology
- ModSimPy
- SGE
- slurm
- Snakemake
- Luigi
Benefits
Sonstige Zulagen
- Salary free of income tax
- Monthly family allowance
- Monthly child allowance
- Monthly non-resident allowance
- Relocation package
- Installation grant
- Education grant for private schooling
- Financial support for travel to home country
Attraktive Vergütung
- Annual salary review
Betriebliche Altersvorsorge
- Pension scheme
Sonstige Vorteile
- Death benefit
- Long-term care insurance
- Generous optical cover
- Visa exemption
Sicherer Arbeitsplatz
- Accident-at-work insurance
Flexibles Arbeiten
- Flexible working arrangements
Gesundheits- & Fitnessangebote
- Private medical insurance
- Generous dental cover
Mehr Urlaubstage
- 30 days annual leave
Parkplatz & Pendelvorteile
- Free shuttle bus
Weiterbildungsangebote
- Library access
Gratis oder Vergünstigte Mahlzeiten
- Subsidised on-site cafeteria
Lockere Unternehmenskultur
- Casual dress code
- International applicants welcome
Team Events & Ausflüge
- Sports and social club activities
Kinderbetreuung
- Kindergarten
Familienfreundlichkeit
- 10 days child sick leave
Großzügige Elternzeit
- Generous paid maternity leave
- Generous paid parental leave
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.Biological Data Scientist(m/w/x)
Research microbial functional genomics and model metabolic interactions. Advanced programming skills and large-scale data analysis experience required. Salary free of income tax, monthly family and child allowances.
Anforderungen
- Ph.D. degree or equivalent working experience in bioinformatics, computational biology, biostatistics, or related subjects
- Substantial experience in scientific computing and/or software development
- Experience with large-scale data management and analysis
- Advanced skills in a high-level programming language (>2 years of experience)
- Experience in data analysis, statistics and visualization (e.g., Python, R, or MatLab)
- Ability to work independently and in a team
- Ability to work at the interface between life sciences and informatics
- Willingness to learn new skills and programming languages
- Good communication and interpersonal skills
- Good English language skills
- Experience with metagenomics and metatranscriptomics analyses
- Familiarity with high-throughput sequencing, proteomics and/or metabolomics data acquisition and analysis
- Experience in multi-omics data integration
- Familiarity with genome-scale metabolic modelling
- Familiarity with machine learning methods and approaches
- Experience in mathematical modeling of dynamic systems (e.g., MatLab SimBiology, Python ModSimPy)
- Experience with compute clusters (e.g., SGE, slurm)
- Experience with pipelines of batch jobs (e.g., Snakemake, Luigi)
- Dry- or wet-lab experience in microbial sciences or microbiome research
Aufgaben
- Conduct independent research projects
- Engage in scientific collaborations
- Support group with bioinformatics and data analysis
- Research microbial functional genomics
- Model metabolic interactions
- Build predictive models of microbiome functions
- Develop and maintain bioinformatics software
- Adapt existing code and pipelines
- Provide programming and statistics support
- Handle large-scale data from mass-spectrometry and sequencing
- Establish infrastructure and data management systems
- Manage internal and external data systems
Berufserfahrung
- 2 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – fortgeschritten
Tools & Technologien
- Python
- R
- MatLab
- metagenomics
- metatranscriptomics
- high-throughput sequencing
- proteomics
- metabolomics
- multi-omics
- genome-scale metabolic modelling
- machine learning
- SimBiology
- ModSimPy
- SGE
- slurm
- Snakemake
- Luigi
Benefits
Sonstige Zulagen
- Salary free of income tax
- Monthly family allowance
- Monthly child allowance
- Monthly non-resident allowance
- Relocation package
- Installation grant
- Education grant for private schooling
- Financial support for travel to home country
Attraktive Vergütung
- Annual salary review
Betriebliche Altersvorsorge
- Pension scheme
Sonstige Vorteile
- Death benefit
- Long-term care insurance
- Generous optical cover
- Visa exemption
Sicherer Arbeitsplatz
- Accident-at-work insurance
Flexibles Arbeiten
- Flexible working arrangements
Gesundheits- & Fitnessangebote
- Private medical insurance
- Generous dental cover
Mehr Urlaubstage
- 30 days annual leave
Parkplatz & Pendelvorteile
- Free shuttle bus
Weiterbildungsangebote
- Library access
Gratis oder Vergünstigte Mahlzeiten
- Subsidised on-site cafeteria
Lockere Unternehmenskultur
- Casual dress code
- International applicants welcome
Team Events & Ausflüge
- Sports and social club activities
Kinderbetreuung
- Kindergarten
Familienfreundlichkeit
- 10 days child sick leave
Großzügige Elternzeit
- Generous paid maternity leave
- Generous paid parental leave
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
European Molecular Biology Laboratory
Branche
Science
Beschreibung
The company is a world leader in scientific research and develops cutting-edge technologies for data management in biology.
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