Data Scientist

Tel Aviv-Yafo, Israel

Full Time

About the Role

The data scientist will analyze and develop predictive modeling using different data types, mainly Electronic Medical Records.
They will develop and apply algorithms for multi-modal data, including supervised machine learning. They will be able to manipulate different available data types, including imaging, NGS and real-world-data. As a data scientist, you will generate algorithms for automated integration of different sources. Additionally, You will work on research and development of software, algorithms, and databases for data analysis. You will write and maintain software for processing big data from public and proprietary clinical trials. Finally, you will develop and maintain ETLs over cloud infrastructure.


  • M.Sc. or Ph.D. in mathematics, computer science, data science, bioinformatics or another related field or B.Sc. with relevant experience will also be considered.

  • Demonstrated experience in medical and/or biomedical data analytics and graphical presentation, machine learning and deep learning algorithm development/utilization.

  • Demonstrated experience with Natural Language Processing (NLP).

  • Proficiency in SQL (preferably PostgreSQL / MySQL).

  • 2+ years programming experience with Python and/or R.

  • Good understanding of medical data.

  • Good interdisciplinary communication skills.

  • Experience working with biological and/or biomedical databases, methods and tools.

  • Attention to detail.

  • Fluency in English.

About the Company

Genetika+ is a well-funded, award-winning biotech start-up based in Tel Aviv, working on cutting edge technologies, developing a new tool in the treatment of Major Depression. Our mission is to reduce the number of patients suffering, the time patients suffer and improve the quality of patient lives. We are recruiting a data scientist to join our growing data science team. The data scientist will develop, customize and apply new and existing algorithms to improve medical and biological biomarkers associated with drug response. They will have the opportunity to develop and incorporate new software that will be part of a precision medicine product, with direct impact on patient lives.