Bioinformatics Scientist / Senior Bioinformatics Scientist


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. We are expanding our bioinformatics and data engineering team under the Computational Discovery unit and seek a Bioinformatics Scientist / Senior Bioinformatics Scientist to drive hands-on data analysis and algorithms’ development towards novel targets discovery and enhancement of our cloud-based computational biology platform. The Bioinformatics Scientist / Senior Bioinformatics Scientist will play a key role in the development of Compugen’s Computational Discovery analytics platform towards the in-silico identification of drug targets and novel biomarkers in immune-oncology (IO). The Bioinformatics Scientist / Senior Bioinformatics scientist will report to the Head of Computational Discovery.
– Conduct end-to-end computational analyses of single cell and spatial transcriptomics data
Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines
– Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization
– Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers
– 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

Required qualifications:

– Ph.D. or equivalent hands-on years of experience in Bioinformatics / Computational Biology & Data Sciences
– Strong programming and data science skills (Python or R preferred)
– Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq
– Ability to propose and carry out independently computational biology research projects
– Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions
– A team player in a multidisciplinary environment
– Outstanding interpersonal, verbal and written communication skills
– Strong collaborative skills, professionalism and commitment
– Experience in cancer or immunology studies, pathways analysis and biological interpretation is an advantage
– Cloud-based data science experience (AWS Preferred) is an advantage
– Experience in agile software development and databases is an advantage (Python, AngularJs, NodeJs, Laravel, REST API, MySQL, –
PostgreSQL, MongoDB, DynamoDB and Apache SPARK)
– Background in statistics, machine learning or in big-data analysis is an advantage
– Image analysis experience is an advantage

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