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← All postings · April 2019 thread

Radix Labs (YC S18)

Software Developer (frontend, backend, compilers, distributed systems)

CompanyRadix Labs (YC S18)
Websiteradix.bio
Roles
  • Software Developer (frontend, backend, compilers, distributed systems)
  • Frontend Development - Scalajs-react
Typefull-time
Role taxonomyFrontendBackend
SpecialtiesFrontend, Backend
LocationCambridge, MA, USA
Salary$100k–150k/yr + equity (“$100k-150k”)
Apply viaEmaildhash@radix.bio
Hiring notes
TechReactScala
Parsed locationsCambridge, MA, USA
RegionsUS
Posted bydhash
PostedApr 2, 2019
SourceView on Hacker News ↗

Original posting

Radix Labs (YC S18) | Software Developer (frontend, backend, compilers, distributed systems) | Cambridge, MA, USA | ONSITE | Full time | $100k-150k + equity About Radix Radix Labs is a Series Seed startup with 2.5M raised. Our product brings compiler-like abstractions to the process of working in a biology lab. We are building the future of the biotechnology development process with a first-principles approach, developing a programming language, compiler, and distributed runtime to automatically turn lab protocols into robot or lab technician instructions. This means that the 60% of a PhD biologists day that is spent doing manual labor can be reduced drastically, pushing the means of biotech production down to biohackers and streamlining the inefficiencies of large pharmaceutical companies with one proven software solution. About the Role We're looking for Scala engineers. We are a 100% scala shop, JS, JVM, and Native. We leverage features of Scala to provide value to customers. If any of this sounds like something you want to work on - reach out to dhash@radix.bio. If it sounds like something you want to learn, or you only cover some of the skillset, still do reach out. - Distributed systems - Akka/Kafka/Hashicorp stack - Frontend Development - Scalajs-react - Notebook computing interface for biologists to write lab protocols as programs - Version control - We're bringing protocol + associated data versioning to users, and we'd love to work on a nice implementation for biologists. - Compilers - Recursion-Schemes/Linear type system/functional interpreters - Constraint-based solver integration (SMT/heuristic/MIP) based optimizer - NP-complete problem solver CVC4(SyGuS)/Z3/CPLEX/OR-Tools/metaheuristics - Synthetic Biology - High-throughput screening - DNA-based assays - Process optimization