Do you want to make the world a better place? You have a chance to join an exciting early stage, growing bio-computational company and help to fight cancer and other human diseases. Senseera is an innovative startup company developing revolutionary liquid biopsy blood tests for precise and accessible diagnosis and monitoring of human health. We are an interdisciplinary team with broad backgrounds ranging from machine learning, statistical modeling and computational biology to genomics and molecular biology. You will take part in shaping how this unique technology will change the way we detect diseases and help clinicians make precision medicine a reality.

As a software engineer at Senseera you will develop the computational infrastructure and play a pivotal role in developing the first products of the company. Among the responsibilities of the software team:

• Developing Senseera’s unique data storage, management and visualization system 
• Maintaining the core data analysis pipeline and collaborating with research and data teams to develop and integrate new features
• Developing automatic monitoring and alerting tools 
• Translating existing data processing pipelines into robust and professional software
• Developing CI/CD infrastructure and automated code testing

Highlights

• Have a vast influence on the computational vision of a growing company 
• Impact modern healthcare with new tools for disease discovery and monitoring
• Be a part of a dynamic startup environment with ability to grow with the company
• Work as a  power team with strong interdisciplinary knowledge and experience
• Hybrid work environment

Requirements

• BSc in one of the following: computer science, engineering or a related field
• 2+ years of programming experience 
• Good knowledge of Python, Java or similar
• Good knowledge of Linux and shell scripting
• Experience with cloud environments (AWS/GCP/Azure)
• Multitasking, versatile and quick learner

Advantage (but not required)

• Experience in R programming 
• Experience with Docker
• Experience with relational or NoSQL database administration
• Background in machine learning operations
• Experience with bioinformatics pipelines 
• Leadership skills