Structured thinker, problem solver, and communicator
Experience in software engineering, preferably in Life Sciences
Strong grasp of computer science fundamentals
Mastery of modern web technologies including Javascript: Node, React, Angular
Proficient in at least one all-purpose imperative language: Python (ideal), Java, C++
Familiar with modern DevOps/CloudOps best practices
Desirables
Experience in machine learning
Interest in machine learning
Experience in data engineering
Interest in data engineering
Experience in data visualization
Interest in data visualization
What the job involves
You will be critical in bridging the gap between strategy and implementation.
You will be integral in project execution, combining strategic insights with tech-forward solutions.
You will ensure clients receive end-to-end products, bringing intellectual curiosity, analytical rigor, creativity, and strategic thinking to every engagement.
Princeton Biopartners is dedicated to improving the evidence base, accessibility, and dissemination of biomedical innovations in the life sciences sector through strategic advisory, software, and venture funding, setting new standards for excellence and fostering the development of future solutions.
Company benefits
Competitive compensation commensurate with experience
Unlimited annual leave
Up to 15% performance-based bonus
Flexible working conditions and international travel