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EM
EMBL
18d ago

Postdoc / Research Scientist Computational Precision Oncology(m/w/x)

Heidelberg
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Description

You will drive precision oncology by developing predictive models for lymphoma treatments, bridging the gap between complex computational method development and vital clinical research.

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Requirements

  • PhD degree in relevant science field
  • Understanding of biostatistics and machine learning
  • Relevant research experience and scientific outputs
  • Strong analytical and programming skills
  • Experience in Unix and high-performance computing
  • Development of reproducible data analysis pipelines
  • Ability to work independently and collaboratively
  • Attention to detail and precision
  • Written and spoken English communication skills
  • Background in cancer biology (optional)
  • Experience in data management (optional)

Education

Doctoral / PhD

Work Experience

approx. 1 - 4 years

Tasks

  • Develop prognostic machine learning models for CAR T cell treatment
  • Analyze multimodal spatial and single-cell omics data
  • Process dynamic peripheral blood sequencing data
  • Coordinate with domain experts and data producers
  • Oversee the end-to-end data flow and management
  • Perform quality assessment and feature engineering
  • Derive mechanistic hypotheses for experimental testing
  • Conduct independent research and biomedical discovery
  • Standardize workflows and interoperability protocols
  • Implement open science and data curation practices

Tools & Technologies

RPythonUnixQuarto

Languages

EnglishBusiness Fluent

Benefits

Learning & Development

  • Professional development support

Mentorship & Coaching

  • Career planning guidance

Additional Allowances

  • Monthly family and child allowances
  • Generous stipend reviewed yearly

Retirement Plans

  • Pension scheme

Other Benefits

  • Death benefit insurance
  • On-site library
  • Relocation package

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

  • On-site kindergarten
  • Holiday clubs on campus

Family Support

  • 10 days child sick leave

Generous Parental Leave

  • Paid maternity and parental leave
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