Inscripta is developing a high-throughput, automated genome engineering platform to enable read-write biology at unprecedented scale and precision. The Department of Computational Sciences and Engineering works with diverse multi-disciplinary teams to address genomic, proteomic, experimental design, and other relevant questions using mathematical modeling, simulation, data science, machine learning, and other computationally challenging techniques. We are looking for exceptional candidates to create and deploy machine learning models in support of R&D and customer-oriented efforts.
The Computational Scientist, Machine Learning is a full-time position, to which you would devote all your professional effort. You would be responsible for R&D and customer-oriented machine learning efforts and may also participate in other corporate matters. Principal responsibilities include:
We seek an individual with a successful track record who must be comfortable with a start-up environment. The ideal candidate will have:
Inscripta offers a competitive base salary, bonus plan, benefits package and stock options to all team members. Join us and work with a great team of people working to create the tools needed to revolutionize how we feed, fuel and heal humanity. Inscripta is headquartered in Boulder, CO with rapidly expanding additional locations in Pleasanton and San Diego California. This position can be located in either Boulder, CO or Pleasanton, CA.