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Aignostics Logo Aignostics · Research and Development

Staff Computational Biologist

Germany, Berlin · Job Posted January 03, 2026
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Job Description

As a Staff Computational Biologist at Aignostics, you will own how we process, model, and analyze various *omics data types, consult our Machine Learning teams on best practices from the field, and shape future directions of our company together with other technical leaders in the company. With your technical expertise, you will continuously improve approaches and processes for handling biological data and ensure highest scientific standards across teams and projects within the organization. In your daily work, you support our drug discovery and translational research teams and advance the state of the art in clinomics data integration. You will work primarily on drug target identification for oncology but have strong cross-team impact by transferring learnings and best practices to other teams where you will harmonize and develop data processing pipelines, prototype models and analyses to gain scientific insights, and interact with key clients.

Job Responsibility

  • Own our various *omics data processing pipelines within our code ecosystem, continuously improving and harmonizing them
  • Contribute to developing Python-based pipelines for processing proteomic, genomic, transcriptomic, and epigenetic data at large scale
  • Consult our drug discovery and translational research teams in best practices, feasibility of computational Biology analyses, and presentation of biological data
  • Elevate insights from machine learning models into concrete biological hypotheses that you validate in-silico, leveraging public and proprietary data sources
  • Educate and mentor team members on latest advances in the field and continue to be up to date on advances in computational Biology methodology for oncology research

Requirements

  • Ph.D. or MSc. in computational Biology/Bioinformatics
  • 3+ years of relevant experience in industry settings, either biotech or pharmaceutical industry
  • Proven track record of publications in computational oncology
  • Advanced skills in Python and R, ability to prototype analyses and solutions effectively
  • Passion for highest scientific standards and the ever-evolving field of computational oncology
  • Broad multi-omics expertise (DNA, RNA (incl. scRNAseq, spatial transcriptomics), CRISPR, ChIP-seq, methylation, proteomics), established experimental techniques and fit for purpose statistical analyses
  • In-depth knowledge of cancer biology and genetics
  • Excellent communication for broad audiences, teamwork, and data visualization skills
  • Strong learning agility and scientific rigor

Nice to have

  • Familiarity with fundamental machine learning concepts
  • Experience with multimodal machine learning
  • Familiarity with cloud infrastructures (AWS, GCP)

What we offer

  • Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
  • Work with a welcoming, diverse and highly international team of colleagues
  • Opportunity to take responsibility and grow your role within the startup
  • Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs
  • Mentoring program, you’ll learn from great experts
  • Flexible working hours and teleworking policy
  • 30 paid vacations days per year
  • We are family & pet friendly and support flexible parental leave options
  • Pick a subsidized membership of your choice among public transport, sports and well-being
  • Enjoy our social gatherings, free lunches, and off-site events for a fun and inclusive work environment
  • Optional company pension scheme
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