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Boehringer Ingelheim
14d ago

Principal Scientist Computational Cancer Biology(m/w/x)

Wien
from 90,900 / year
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Description

In this role, you will drive innovation in computational oncology by analyzing complex data to uncover insights, collaborating with teams, mentoring junior scientists, and communicating findings to diverse stakeholders.

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Requirements

  • •Advanced degree (Ph.D. or equivalent) in computational biology, biology, medicine, or relevant life-science field
  • •2+ years of industry or postdoctoral experience in oncology or cancer biology
  • •Strong foundation in modern computational data analysis methods
  • •Familiarity with oncology-related public datasets
  • •Demonstrated ability to work with real-world patient data, epidemiological datasets, and multi-omics data
  • •Proficiency in R and/or Python
  • •Experience with widely used computational biology and scientific computing libraries
  • •Excellent critical thinking
  • •Ability to work independently and collaboratively
  • •Ability to communicate complex technical content to multidisciplinary teams

Education

Doctoral / PhD

Work Experience

2 years

Tasks

  • •Propose and design analyses on integrated genomic, transcriptomic, imaging, and clinical data
  • •Execute analyses to derive insights for drug mode-of-action understanding
  • •Refine patient segmentation through biomarkers
  • •Generate drug-resistance hypotheses
  • •Partner with internal teams and drive external collaborations
  • •Identify and translate knowledge gaps into key questions
  • •Develop technical requirements for analytical plans
  • •Lead project-level initiatives and drive computational work streams
  • •Mentor junior scientists and ensure excellence in execution
  • •Communicate methods and results to technical and non-technical stakeholders
  • •Present scientific insights and strategies in portfolio meetings
  • •Evaluate and implement new analysis methods based on best practices
  • •Contribute to reusable data and code with AI/ML and data science teams

Tools & Technologies

RPython

Languages

English – Business Fluent

Benefits

Flexible Working

  • •Flexible working hours
  • •Home office options

More Vacation Days

  • •Additional days off

Free or Subsidized Food

  • •Subsidized staff restaurant

Learning & Development

  • •Diverse training opportunities

Healthcare & Fitness

  • •Health promotion programs

Public Transport Subsidies

  • •Public transport ticket coverage
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