We are a US-based startup working in the biotech area. Our product can analyze millions of data points right in the browser and use AI to learn from data.
We are not looking for the knowledge of any particular language or a framework; our ideal candidate will have no problems using our technology stack (Dart, Java, R, Python, Julia, C++, WASM, WebGL, JavaScript, TypeScript, etc.).
Responsibilities:
● Develop clean, high-performance, well-documented, production-level code
● Design, develop, and own creative solutions that go beyond current tools to deliver data-driven insights to scientific problems
● Collaborate with world-class developers and scientists to work on complex problems
● Identify and use emerging technologies such as WebGL or WASM (how about multithreaded C++ code running in the browser?)
● Be proactive regarding platform evolvement, process improvements, etc.
Requirements:
● Obsession with developing elegant, high-performance code is a must
● Strong fundamentals, including algorithms and data structures
● Ability and willingness to learn new scientific domains
● Expert knowledge in one or more of OOP languages like C++, Java, C#, or Dart
● Minimum 5 years of relevant experience
● Ability to build elegant solutions from scratch, as well as to understand, maintain, and evolve complex codebases
● Ability to efficiently contribute across the whole stack, including UI and backend
Nice to have:
● Scientific background (PhD is a plus)
● Familiarity with R, Python, or Julia
● Experience with high-performance computing, big data, cloud computing
● DevOps, Kubernetes, scalable systems
● Cheminformatics, bioinformatics, or clinical development experience
● Machine learning and data science experience
● Web development, modern frameworks, UI and UX
We offer:
● A chance to revolutionize the space of data analytics
● Fully remote work
● Zero bureaucracy, flexible working hours, unlimited vacations / PTO
● Excellent growth opportunities in a highly dynamic, unique product company
● Paid trainings and certifications
● Competitive compensation.