Write clean, well crafted, modular, and maintainable code.
Drive innovation by learning and teaching new frameworks and technologies.
Build data-rich web applications for scientists and laboratory users to visualize scientific data, talk to robots, drive laboratory workflows, organize medical knowledge, and facilitate cancer treatment discovery.
Write test code that matters, is lightweight, is easy to extend, and supports your quick development cycles.
Work in a dynamic interdisciplinary environment on multi-functional project teams of: software engineers, automation engineers, data scientists, machine learning experts, bioengineers, computational biologists, process engineers, clinical and R&D scientists, etc.
BS/MS in Computer Science or equivalent experience/training
Expert in Python web frameworks (Django, Flask)
Expert in React front-end development
Experience in the AWS ecosystem (EC2, ECS, RDS, DynamoDB)
Experience working in biotech or pharma industries
Experience with CI/CD pipelines and basic DevOps fundamentals
3+ years of production experience
Relational and NoSQL database experience
Unix, Git, and other command line tools
Significant experience testing critical code with modern testing tools and libraries
Passionate about building scientific software for domain experts to improve and personalize the treatment of cancer
Nice to Haves
Contributions to open source projects
Knowledge of bioinformatics tools and data
Experience with Python data tools (Pandas, Numpy, Jupyter, scikit-learn)
Experience with data visualization tools (d3, Plotly, matplotlib, gg-plot)
What we can offer you
The opportunity to directly fight cancer, one patient at a time
Exposure to experts from diverse backgrounds ranging from engineering, data science, operations, clinical medicine, patient advocacy, and beyond
Work in a collaborative environment with a team dedicated to both personal and scientific growth and development
Highly competitive, early stage company compensation package, with incredible growth opportunities