Intern 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 an Intern Bioinformatics Scientist to conduct hands-on data analysis, testing and implementation of Bioinformatics and Machine-learning algorithms’ towards novel targets discovery and enhancement of our cloud-based computational biology platform. The Intern Bioinformatics Scientist will aid in the development of Compugen’s Computational Discovery analytics platform towards the in-silico identification of drug targets and novel biomarkers in immuno-oncology (IO).

– Implement innovative computational biology algorithms and data science approaches towards the establishment and maintenance of single-cell and additional bioinformatics processing pipelines
– Calibrate and implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization
– Preprocess genomics data and metadata in preparation for analysis and machine learning.
– Conduct computational analyses of single cell and spatial genomics data
– Present, visualize and communicate the analytics results and scientific insights to internal cross-functional stake holders
– The Intern position term is for 6 months full time

Required qualifications:

– Ph.D./M.Sc. or equivalent hands-on years of experience in Bioinformatics / Computational Biology & Data Sciences
– Strong programming and data science skills (Python preferred)
– Ability to carry out independently computational biology research projects.
– Hands-on experience in data analysis workflows of RNA-Seq or scRNA-Seq
– Experience in cancer or immunology studies, pathways analysis and biological interpretation is an advantage
– A team player in a multidisciplinary environment
– Outstanding interpersonal, verbal, and written communication skills
– Strong collaborative skills, professionalism, and commitment


– Experience in agile software development and databases (Python, AngularJs, NodeJs, Laravel, REST API, MySQL, PostgreSQL, MongoDB, DynamoDB and Apache SPARK)
– Background in statistics, machine learning or in the analysis of large-scale datasets (AWS Sagemaker preferred)
– Cloud-based data science experience (AWS Preferred)
– Demonstrated impact via the development of novel innovative algorithms, and the adoption of available open source or licensed solutions

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