Biobot Analytics · Remote (USA)
Health & Well-Being
EnvironmentPosted 6 days ago
User Experience Design (UX)
Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure human health in sewage to understand public health in cities. We are actively engaged in using wastewater-based epidemiology to help our customers manage the Covid-19 pandemic.
- Highly proficient with React.js its core principles such as components, life cycle methods, and the virtual DOM
- Familiarity with the Redux framework and building data-driven applications
- Experience using React component libraries like antd, material-UI, or similar
- Good understanding of HTML5 and CSS3
- Ability to implement cross-browser responsive designs
- Knowledge of functional programming and object-oriented programming paradigms
- Proficiency with modern development tools, like Travis, Babel, Webpack, NPM and Git
- Experience consuming RESTful APIs and participating in the specification of such APIs
- Experience with delivering apps at scale and production i.e., supporting a large number of simultaneous users. Ideal candidate can point to sites where their code is deployed “in production”
- Experience with caching and other techniques needed to deliver a best in class user experience
- Prior experience with adoption and implementation of Analytics approaches for A/B testing (Optimizely, Google, other) to learn and iterate quickly on aspects of our product offer
- Familiarity with modern software engineering best practices, including iterative/agile development and version control
- Desire to be part of an early stage start-up, are comfortable stepping out of traditional role boundaries and are comfortable in uncertainty
- Creative thinking
- Experience working in distributed/remote teams, and are generally self-directed
- You have experience or would enjoy working on a science-focused public health product
- You enjoy prototyping UI features to aid customers in understanding their data in the context of other public health data sources
- You have an eye for visual design and enjoy going the extra step to make products that are enjoyable to interact with
About Biobot Analytics
Our mission is to transform wastewater infrastructure into public health observatories.
Biobot Analytics is a wastewater epidemiology company. Using technology developed at MIT, we measure human health in sewage (based on what is excreted in urine and stool) to understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and last year launched a Covid19 product to estimate the scope of the outbreak in communities. We have operated in almost 400 communities across 42 states, generating Covid19 case estimates for over 10% of the U.S. population.
Inspired by the potential of wastewater epidemiology, we are the first company in the world to bring wastewater epidemiology to market. We are VC backed by top investors including The Engine, DCVC, Y Combinator and Homebrew. We were recently recognized as the third most innovative biotech company by FastCo, after Pfizer-BioNTech and Moderna.
Battling the drug epidemic and now the Covid19 outbreak is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot will be an early warning system for disease, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents.
At Biobot, we believe that the best technologists can improve society and we strive to build a workplace in which everyone can thrive. Our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from women; non-binary, trans, and gender-non conforming individuals; Black and indigenous individuals, and people from other minoritized racial and ethnic groups; and other groups traditionally underrepresented in technology startups.