Product Full-Stack Software Engineer

Product Full-Stack Software Engineer

Department: Platform (Engineering)

Employment Type: Full Time

Location: San Francisco, CA

Compensation: $170,000 - $205,000 / year

Description

At Enable, we are in a position to redefine the modern research process by building tools to leverage our proprietary database of biological data.

We are focused on building the best integrated research platform in the world and solving all of the challenges that arise during the process - solving UI/UX challenges to support a research sandbox environment, developing intuitive methods of visualizing large-scale multi-dimensional data, and surfacing novel biological insights through highly integrated configuration and analysis tools.

As a result of our work, we are able to push the boundaries of biological research, empower our clients and internal scientists to conduct research at a scale and scope not possible anywhere else, and contribute to biological insight generation with the potential to save lives across the world.

As we continue our rapid growth, our vision of the Enable Cloud Platform will only continue to expand and evolve. We're looking for talented engineers who are excited about shaping and building the future of biological research.

**This position can be based in San Francisco or NYC**

At Enable, you will:

• Collaborate with cross functional partners and communicate with clients to set the direction of the product
• Design and implement complex features that support novel insight generation, from high level visualizations to granular data analysis
• Contribute to the overall vision of a highly integrated cloud-based research platform

Who you are:

• 4+ years of experience as a full-stack developer, ideally using JS/React and Python/Flask
• Experience with the following technologies preferred: GraphQL, D3.js, Apollo
• Experience scoping and implementing large scale systems and features from ambiguous product requirements
• Experience identifying and solving user problems
• Experience with Docker and Kubernetes preferred