Inscripta is developing the world’s first scalable platform for benchtop Digital Genome Engineering. The company’s advanced CRISPR-based platform, consisting of an instrument, reagents, and software, will offer a fully automated workflow that enables multiplexed, trackable editing of cells at an unprecedented scale. Inscripta’s goal is to empower scientists whose gene editing research is stifled by current technical and licensing limitations. By providing this unique platform and engaging in collaborative business practices, such as making its MAD7 CRISPR nuclease free for research purposes, the company enables scientists to realize a new era of biological discovery.
The Department of Computational Sciences and Engineering works with diverse multi-disciplinary teams throughout Inscripta to address a number of 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 build out our automated analytical pipelines, develop novel algorithms and models for genomics and proteomics, and create scalable platforms for large scale computation. This position could be based in either our Pleasanton, California or Boulder, Colorado office.
- Develop novel approaches for data analysis of mammalian experimental data within Inscripta.
- Perform custom analyses of a wide range of data from instruments used in laboratory settings.
- Create and maintain automated analytical pipelines for next-gen sequencing data from mammalian samples.
- Contribute to the design of experiments and improvement of Inscripta products.
- Perform other work-related duties as assigned.
- A Bachelor’s degree in a technical or scientific area, such as computer science, engineering, biology, biochemistry, physics, or related fields. An advanced degree is strongly preferred.
- A minimum of 7-10 years of experience (or equivalent with advanced degree).
- Experience with mammalian genomics.
- Deep understanding of analysis algorithms and approaches for CRISPR techniques such as identifying efficiency of indel formation, precise editing, GUIDE-Seq, CRISPR-GA, CCTop, BLESS, etc. and their application to mammalian CRISPR experiments.
- Experience working with large data sets consisting of 1000s of samples.
- Software development skills, including a working knowledge of version control systems, continuous integration processes, and Agile development techniques.
- Knowledge of Python, R, C++, Java, or other advanced languages. Python, R and C++ are strongly preferred.
- Strong problem solving, statistical, and mathematical skills.
- Strong communication and presentation skills.
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 developing the world’s first scalable platform for benchtop Digital Genome Engineering. Inscripta is headquartered in Boulder, CO with offices in Pleasanton and San Diego, CA. This role can work out of either Boulder or Pleasanton though Pleasanton workers will travel occasionally to Boulder, CO.