Bioinformatician / Computational Biologist

Job Description:

Compugen’s extraordinary multidisciplinary team is one of its greatest assets. Our employees, coming from different backgrounds with diverse ways of thinking, work together in an atmosphere that cultivates excellence, creativity and openness. The cooperation of people from various disciplines involving different areas of expertise is fundamental to our ability to establish unique predictive drug discovery solutions, as well as to discover and develop novel therapeutic proteins and drug targets. This merging of talent from various disciplines continues to serve as a key growth driver and enables us to fulfill our mission and business goals.

  • Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers
  • Data mining of public domain and proprietary genomics and proteomics databases with clinical insights
  • Scientific literature mining and NLP implementation in biological research
  • Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
  • Work closely and routinely with computational scientists, biologists and immunologists
  • Present, visualize and communicate the analytics results and scientific insights to internal and external collaborators

Job Requirements:

  • Ph.D. or equivalent hands-on years of experience in Mathematics / Bioinformatics / Computational Biology / Physics / Computational & Data Sciences
  • Strong programming skills (R or Python preferred)
  • Cloud-based data science experience (AWS Preferred)
  • Ability to propose and carry out independently computational biology research projects.
  • Demonstrated impact via the development of novel innovative algorithms, and the adoption of available open source or licensed solutions
  • Hands-on experience in data analysis workflows of RNA-Seq, DNA-Seq, ScRNA-Seq, CITE-Seq is an advantage
  • Experience in cancer or immunology studies, pathways analysis and biological interpretation is an advantage
  • Background in statistics, machine learning or in the analysis of large-scale datasets is an advantage
  • A team player in a multidisciplinary environment
  • Outstanding interpersonal, verbal and written communication skills
  • Strong collaborative skills, professionalism and commitment

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