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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.
Requirements
- 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
Tasks
- 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
Work Experience
- 2 years
Education
- Doctoral / PhD
Languages
- English – Advanced
Tools & Technologies
- 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
Additional Allowances
- 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
Competitive Pay
- Annual salary review
Retirement Plans
- Pension scheme
Other Benefits
- Death benefit
- Long-term care insurance
- Generous optical cover
- Visa exemption
Job Security
- Accident-at-work insurance
Flexible Working
- Flexible working arrangements
Healthcare & Fitness
- Private medical insurance
- Generous dental cover
More Vacation Days
- 30 days annual leave
Parking & Commuter Benefits
- Free shuttle bus
Learning & Development
- Library access
Free or Subsidized Food
- Subsidised on-site cafeteria
Informal Culture
- Casual dress code
- International applicants welcome
Team Events
- Sports and social club activities
Childcare
- Kindergarten
Family Support
- 10 days child sick leave
Generous Parental Leave
- 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.
Requirements
- 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
Tasks
- 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
Work Experience
- 2 years
Education
- Doctoral / PhD
Languages
- English – Advanced
Tools & Technologies
- 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
Additional Allowances
- 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
Competitive Pay
- Annual salary review
Retirement Plans
- Pension scheme
Other Benefits
- Death benefit
- Long-term care insurance
- Generous optical cover
- Visa exemption
Job Security
- Accident-at-work insurance
Flexible Working
- Flexible working arrangements
Healthcare & Fitness
- Private medical insurance
- Generous dental cover
More Vacation Days
- 30 days annual leave
Parking & Commuter Benefits
- Free shuttle bus
Learning & Development
- Library access
Free or Subsidized Food
- Subsidised on-site cafeteria
Informal Culture
- Casual dress code
- International applicants welcome
Team Events
- Sports and social club activities
Childcare
- Kindergarten
Family Support
- 10 days child sick leave
Generous Parental Leave
- Generous paid maternity leave
- Generous paid parental leave
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
European Molecular Biology Laboratory
Industry
Science
Description
The company is a world leader in scientific research and develops cutting-edge technologies for data management in biology.
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