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BEBernhard Nocht Institute for Tropical Medicine

PhD Student in data science(m/w/x)

Hamburg
Full-timeOn-site
AI/ML
Data Science

Developing transformer- and graph-based models for single-cell RNA-seq and spatial transcriptomics at tropical medicine research institute. Advanced Python or R programming expertise in Linux environments required. 30 days vacation, state-of-the-art laboratory facilities.

Requirements

  • Master’s degree in Computer Science, Bioinformatics, or related fields
  • Master’s degree in Biological sciences with strong programming background
  • Expertise in programming, Python or R
  • Expertise in Linux environments
  • Interest in biological questions and disease mechanisms
  • Understanding of LLMs and transformer models
  • Experience with genomics, transcriptomics, or NGS (plus)
  • Expertise in AI/ML (plus)
  • Experience with job submission systems/HPC (plus)
  • Proficiency in English (oral and written)
  • Excellent organisational and independent planning skills
  • Strong team spirit and communication skills
  • Creative mindset and problem-solving capabilities
  • Proficiency in office software (Office, Adobe)

Tasks

  • Leverage large-scale single-cell RNA-seq datasets
  • Utilize spatial transcriptomics datasets
  • Develop transformer- and graph-based models
  • Capture cellular responses across tissues
  • Investigate systematic biases and biological confounders
  • Develop computational strategies to correct biases
  • Build predictive models for in silico perturbations
  • Simulate genetic and pharmacological interventions
  • Advance foundation models for host-pathogen systems
  • Train, explore, and modify transformer models
  • Characterize the impact of confounding variables
  • Integrate multimodal host-pathogen data sources
  • Establish pipelines for drug target discovery
  • Apply models to immunological datasets
  • Provide bioinformatics support to research groups
  • Support teaching and training activities
  • Contribute to independent research initiatives

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • R
  • Linux
  • LLMs
  • transformer models
  • next-generation sequencing analysis
  • AI/ML
  • HPC
  • Office
  • Adobe

Benefits

Informal Culture

  • Creative, supportive, motivated team

Startup Environment

  • Interdisciplinary research environment

Modern Office

  • State-of-the-art facilities

Purpose-Driven Work

  • Independent research project opportunities

More Vacation Days

  • 30 days of vacation

Flexible Working

  • Flexible and family-friendly hours

Additional Allowances

  • Childcare subsidy

Public Transport Subsidies

  • Deutschlandticket subsidy

Retirement Plans

  • Company pension scheme

Learning & Development

  • Further education and training
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