Full Stack Software Engineer - Notable Labs - SF

Are you looking for a mission driven company where your work will directly impact human lives? Do you have a passion for scientific data and broad experience writing web applications? Do you think that cancer treatment should be personalized and want to build software to accelerate that reality?

Notable Labs seeks a full stack software engineer to build out the platform powering our robotic lab. As an early engineer on a small team, you will build backend APIs, craft web apps, and contribute to the engineering vision that drives our mission: all cancer is treatable. We're building a translational drug discovery platform to identify treatment options for relapsed and refractory cancer patients -- starting with Acute Myeloid Leukemia and Glioblastoma Brain Cancer -- to address the long tail of cancer treatment. We have a highly automated lab in San Francisco running on our custom software (Python/Django, JavaScript/React, PostgreSQL), and are currently testing relapsed/refractory cancer patients as well as samples from a variety of biopharma partnerships.

What You'll Do

- 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. 
- Design frontend and backend software that is modular and easily testable. 
-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. 
- Craft software across our tech stack: JavaScript, React, Redux, Python, Django, PostgreSQL, Celery, Docker, Jupyter, Pandas, SciPy, NumPy, SciKits, R, etc.

Who You Are

- 2+ years of production experience working in a technical stack similar to ours 
Python/Django and JavaScript/React (or similar frameworks) 
- PostgreSQL or other relational databases 
- Unix, Git, and other command line tools 
- Contributed significant production quality work that is demonstrated through your GitHub account, personal web page, or prior experience 
- 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 
- DevOps experience (AWS, Docker, CI/CD, logging/monitoring/metrics, Puppet, Redis, etc.) is a plus 
- BS/MS in Computer Science or equivalent experience/training

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