We are very sorry but it looks like you are using an outdated browser. We strongly recommend updating to a modern browser.
More information about your browser and how to update

Computational Biologist

Workscope: Clinical Research

This job ad is out of date. Find related Jobs here.

Blackfield is a dynamically growing biotechnology company supporting pharma companies in developing targeted cancer drugs. Recently, we have closed a series B financing round to establish a diagnostics business providing genetic testing to identify optimal treatment options for cancer patients.

Our diagnostic test is based on next generation sequencing and proprietary computer algorithms published in per-reviewed journals (e.g., Peifer et al., Nature Genetics, 2012; Fernandez-Cuesta et al., Cancer Discovery, 2014). The analysis comprises more than 150 genes and detects all actionable genetic alterations, e.g. in EGFR, HER2, KRAS and BRAF, including novel and known fusions, such as ALK, RET, ROS1 and FGFR.

To expand our current capabilities and secure our leading position we are seeking a highly motivated
Computational Biologist
Your responsibilities:
  • Implementation of data analysis pipelines and analytical tools that enable comprehensive genetic  tumor profiling;
  • Development and improvement of algorithms to identify chromosomal copy number changes  and other actionable genomic alterations in tumor DNA derived from clinical specimens such as FFPE, fresh frozen tissue or blood samples;
  • Processing and interpretation of large data sets generated by our NGS team, including development and implementation of analytical tools for troubleshooting;
  • Development of methods and software tools to support large-scale bioinformatics analysis;
  • Coordination of our bioinformatics team and collaboration with our molecular biologists and pathologists as well as the academic research groups of our co-founders Prof. Roman Thomas and Dr. Martin Peifer at the University of Cologne.
Your skills and experience:
  • Ph.D. in Bioinformatics, Physics, Computer Science or related scientific disciplines with several years of industry or post-doctoral experience;
  • Experience in developing algorithms for the analysis of massively parallel sequencing data;
  • Fluency in programming and scripting languages (e.g., C++, R);
  • Profound knowledge in Linux/Unix operating systems;
  • Strong scientific understanding of cancer molecular biology and cancer genomics;
  • Ability to explain and present data to both internal and external researchers;
  • Excellent teamwork, time management, leadership and organizational skills.

Contact detail

How to apply:
Please send your application via Email to jobs@blackfield.de. 
Send application to
Your contact person is Dr. Andreas Jenne, CEO Blackfield AG. 

Job profile

Working hours
Contract duration
Type of job
Work experience
jobexperience is required
Germany (Nordrhein-Westfalen)
Working place
51105 Cologne
Area of expertise
Biology & Life Sciences