Senior Data & Software Engineer

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 software and data engineering team under the Computational Discovery unit and seek a Sr. Engineer to drive hands-on development of our cloud-based data-lake.

  • The Sr. Data & Software Engineer will lead database infrastructure development of Compugen’s Computational Discovery analytics platform towards the in-silico identification of drug targets and novel biomarkers in immuno-oncology (IO)
  • Lead the establishment of a cloud-based Database (DB) including detail scoping, requirements gathering, hands-on architecture, design and implementation, testing, launch, maintenance and support
  • Utilization of state-of-the-art technologies to optimize the DB and enable real-time queries, analytics and visualization of big-data
  • Continuous improvement of database and cloud cost optimization
  • Apply best practice in information security and access control of the developed database
  • Work in collaboration with biologists, bioinformatics and data scientists, as well as with stakeholders and management across the company
  • Present, visualize and communicate the database development roadmap and achieved milestones to internal and external collaborators

Job Requirements

Major requriements:

  • B.Sc. or equivalent hands-on years of experience in Computer Science/Engineering
  • 3+ years of hands-on commercial-grade software development
  • Strong software development experience in any/most of the following skills: Python, Java,  Scala, GoLang or other backend language
  • Experience with implanting ETL systems
  • Extensive experience in databases for handling and integrating large-scale datasets and data science technologies for structured and unstructured data, such as MySQL, PostgreSQL, MongoDB, DynamoDB, RedShift, Apache SPARK, Hadoop, MapReduce
  • Hands-on experience in cloud-based (AWS preferred) platform
  • Best practices in version control (Github), documentation and in dev-stage-prodenvironments

Personal traits:

  • Ability to propose, scope and carry out the work independently
  • Great interpersonal, verbal and written communication skills
  • Strong collaborative skills, professionalism and long term commitment
  • A team player in a multidisciplinary environment

Advantages:

  • Experience in the biotech and pharmaceutical industry – an advantage
  • Experience implementing a data lake architecture – an advantage
  • Dev-Ops experience in performance and cost optimization – an advantage
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