Our product, a next-generation data analytics platform with a focus on biopharma and life sciences. Datagrok’s mission is to help people understand their data. In order to do that, we are building a revolutionary, industry-defining analytics platform that allows people to connect to any data source, interactively visualize up to 10 million rows in the browser, and leverage artificial intelligence.
• 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
• 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.
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
• Zero bureaucracy, flexible working hours without tracking, full-remote work.
• No formal restrictions on sick leaves.
• Excellent growth opportunities in a highly dynamic, unique product company.
• Competitive compensation
We are really unlike anything you've seen, check out what we can do right in the browser: