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EUEuropean Molecular Biology Laboratory

Laboratory Officer (Bioinformatics / Computational Biology)(m/w/x)

Heidelberg
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Setting up computational workflows for genome/transcriptome assembly and annotation, analyzing single-cell genomic data from planarian species at a world-leading scientific research institution. Ph.D. in bioinformatics or related field, or 5 years computational biology experience, with prior genomics data analysis required. Monthly family, child, and non-resident allowances.

Requirements

  • Ph.D. in computer science, bioinformatics, biostatistics, or related field, or at least five years of professional experience as a computational biologist
  • Prior experience in genomics data analysis, including genome assembly and annotation, RNA-seq, ATAC-seq, DNA-seq, or single-cell adaptations
  • Strong proficiency in R, scripting languages (e.g. Python), and Unix/Linux command line
  • Ability to work independently and collaborate effectively in a hybrid lab environment
  • Organizational skills, open-mindedness, and enthusiasm in communication
  • Ability to manage multiple projects and interact productively with diverse teams
  • Working knowledge of English
  • Experience with multi-omics data integration
  • Familiarity with machine learning methods and approaches
  • Previous experience working with non-model organisms
  • Understanding of molecular and sequencing techniques used in single-cell genomics

Tasks

  • Set up computational workflows for genome and transcriptome assembly and annotation across different planarian species
  • Develop pipelines for processing and analyzing bulk and single-cell genomic data
  • Explore and implement data integration methods for cross-species comparisons of single-cell genomic data
  • Analyze single-cell datasets from multiple planarian species to identify species-specific differences in allometry and associated molecular programs
  • Onboard new lab members and coordinate lab tasks
  • Manage reagent and equipment orders to ensure smooth lab operations

Work Experience

  • 5 years

Education

  • Doctoral / PhD

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • R
  • Python
  • Unix/Linux

Benefits

Family Support

  • Monthly family allowances
  • 10 days of child sick leave

Additional Allowances

  • Child allowances
  • Non-resident allowances
  • Installation grant
  • Monthly family & child allowances
  • Education grant for private schooling
  • Financial support for travel home
  • Monthly non-resident allowance

Competitive Pay

  • Annual salary review

Retirement Plans

  • Pension scheme

Other Benefits

  • Death benefit
  • Long-term care insurance
  • Relocation package
  • On-site library
  • Visa exemption

Job Security

  • Accident-at-work insurance

Flexible Working

  • Flexible working arrangements

Healthcare & Fitness

  • Private medical insurance for family
  • Subsidised on-site gym

More Vacation Days

  • Generous time off
  • 30 days annual leave

Parking & Commuter Benefits

  • Free shuttle bus

Free or Subsidized Food

  • Cafeteria

Informal Culture

  • Casual dress code

Team Events

  • Extensive sports and social club activities

Childcare

  • Kindergarten

Generous Parental Leave

  • Generous paid maternity leave
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