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EUEuropean Molecular Biology Laboratory

.Biological Data Scientist(m/w/x)

Heidelberg
from 4,031.02 / month
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

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

  • EnglishAdvanced

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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of European Molecular Biology Laboratory and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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