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EUEuropean Molecular Biology Laboratory

Postdoctoral Researcher in Computational Genetics(m/w/x)

Heidelberg
Full-timeWith Home Office
AI/ML
Data Science

Developing computational methods for rare variant effects in human traits and single-cell data. Experience with PyTorch, Keras, Pyro, or TensorFlow required. Monthly family allowances, generous stipend.

Requirements

  • PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering
  • Degree in biological science with computational/statistical development experience
  • Experience implementing statistical or machine learning
  • Programming skills in Python
  • Experience with PyTorch, Keras, Pyro or TensorFlow
  • Motivation and dedication to lead scientific project
  • Supportive, creative and responsible team member
  • Expertise in biological data science and data-driven discovery
  • Keen interest to engage with biology or medicine domain
  • Excitement for the role despite past experience not aligning perfectly

Tasks

  • Develop computational methods to investigate rare variant effects
  • Apply computational methods to human traits
  • Apply computational methods to single-cell readouts
  • Apply developed methods in large cohort studies
  • Extend DeepRVAT for non-coding variation
  • Apply DeepRVAT to single-cell omics cohorts
  • Integrate scRNA-seq with CRISPR perturbation datasets

Education

  • Doctoral / PhD

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Bayesian inference
  • Deep-learning
  • Python
  • PyTorch
  • Keras
  • Pyro
  • TensorFlow

Benefits

Additional Allowances

  • Monthly family and child allowances
  • Generous stipend

Retirement Plans

  • Pension scheme

Other Benefits

  • Death benefit
  • On-site library

Flexible Working

  • Flexible working arrangements
  • Hybrid working patterns

Healthcare & Fitness

  • Private medical insurance

More Vacation Days

  • 30 days annual leave

Parking & Commuter Benefits

  • Free shuttle bus

Free or Subsidized Food

  • Subsidised on-site cafeteria

Informal Culture

  • Casual dress code

Team Events

  • Sports and social club activities

Childcare

  • Kindergarten
  • Holiday clubs on campus

Family Support

  • 10 days child sick leave

Generous Parental Leave

  • Paid maternity leave
  • Paid parental leave
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