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Postdoctoral Researcher in Computational Genetics(m/w/x)
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
- English – Business 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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Postdoctoral Researcher in Computational Genetics(m/w/x)
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
- English – Business 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
About the Company
European Molecular Biology Laboratory
Industry
Research
Description
The company is a world leader in scientific research and develops cutting-edge technologies for data management in biology.
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