Computational biologist job at TRON gGmbH Germany

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Computational biologist job at TRON gGmbH Germany

Computational biologist job at TRON gGmbH Germany
TRON is a new, rapidly growing biopharmaceutical start-up organization seeking to treat unmet medical needs through novel therapies, including targeted cancer immunotherapies and individualized medicine. TRON is located in Mainz, Germany, has strong connections to the University of Mainz and spin-outs Ganymed and BioNTech, and is developing novel platforms for therapies and biomarkers. As part of our team, you’ll have the opportunity to collaborate with talented and dedicated colleagues, develop and expand your career, be on the cutting-edge of science, and help tgGmbH Germany reat disease.
TRON is building a multidisciplinary computation medicine and medical genomics department with experience in computational genomics, genetics, proteomics, biotechnology, next-generation sequencing (NGS), and bioinformatics. We are searching for a computational biologist with a strong cancer background.
• Identify novel targets, lead structures, and biomarkers through analysis of human DNA and RNA sequence data from TRON’s Illumina HiSeq NGS machine.
• Contribute to TRON’s individualized cancer vaccination initiative
• Participate in development of new lab methods
• Knowledge of commonly- used methods used to analyze human genomic data
• Self-starter who works effectively collaboratively in an agile start-up environment
• Strong visual, verbal, and written communication skills
• Ability to select among existing methodologies and tools, and where necessary develop new approaches, to drive design processes and communicate rationales
• Demonstrated experience analyzing large human genomic datasets (e.g. SNP genotypes, sequence, microarray gene expression, proteomics)
• Demonstrated understanding of molecular and cellular biology concepts, including cancer biology
• Competency with a statistical package (e.g. R or MATLAB)
• Eagerness to advance biomedical discovery
• Experience with genome data analysis bioinformatics tools and data visualization applications applied to sequence analysis (e.g. RNA-seq, DNA re-seq, cancer deep sequencing, Exome-seq)
• Proficiency with sequence assembly and search tools (e.g. Bowtie, BWA)
• Experience developing software applications or workflow automation
• Understanding of the drug discovery process
• 5+ years experience analyzing human genomic data
• PhD in Molecular Biology-related field or Physics/Mathematics
We look forward to your application.
Kerstin Lehrbach
John Castle
Please write ‘computational biologist’ in the email ‘Subject’ line.