Software Engineer - Pipeline

 
We are seeking an enthusiastic and experienced senior Python engineer to design and build a high-bandwidth pipeline for biomedical data. The candidate will be responsible for operational performance, data integrity, and development of administrative tools and reports. The pipeline will handle tens of terabytes per tissue sample in the form of images and genetic sequence data which will be made available to world-class researchers. Processing will involve image filtering, machine vision, machine learning, sequencing, bioinformatics, creation of 3D spatial data, and storage. 

Why join us? 

This is a ground-floor opportunity to join a well-funded startup, and enable breakthroughs on the cutting edge of genetics and medicine. ReadCoor is building a new tool that combines microscopy and gene sequencing to provide high-precision, three-dimensional localization of biomolecules in complex samples. As part of our new and rapidly-growing team, you will:

  • Be responsible for building the backend data processing and analysis pipeline for our new spatial sequencing devices. 
  • Work closely with other talented software engineers and biomedical researchers, largely PhDs and engineers with deep industry experience. 
  • Deploy cutting edge algorithms from our researchers into a scalable, robust processing pipeline.
  • Work on projects such as mapping trillions of individual neurons in the brain, or investigating pathogens associated with early childhood diseases and epidemics, or spatially stratify cancer disease state.


Skills we are looking for:

     Required
  • At least a bachelor’s degree in computer science or relevant field
  • Minimum 4 years experience as a developer
  • Demonstrated exceptional coding ability in Python and at least one other language
  • Experience with numeric and data analysis similar to Numpy, Pandas, or Scipy
  • Experience with distributed systems, workflows, and message queues
  • Experience implementing and using RESTful APIs
  • Experience with a relational database such as Postgres (preferred) or MySQL
  • Experience with git, build systems, and testing tools.
  • Good communication and collaboration skills

     Nice to have
  • Experience with Amazon AWS and Docker
  • Experience with GIS (especially 3D) spatial databases, such as the PostGIS 
  • Experience with biomedical machine vision, or machine learning
  • Experience with bioinformatics and work with genetics datasets


Company Overview:
ReadCoor has introduced and is leading the next generation of “omics” by delivering the first panomic spatial sequencing platform to a global audience of researchers, clinicians, pharma, diagnostics companies, and ultimately patients. This is made possible with a fundamental new technology called FISSEQ which simultaneously enables integration of high throughput sequencing, morphometric analysis, cellular location and three-dimensional spatial imaging. This uniquely powerful tool is the first and only implementation of “In-situ Sequencing” and will revolutionize the next phase in understanding the transcriptome, introducing vast new opportunities for important and meaningful clinical insight.  ReadCoor will fulfill the mission with a comprehensive set of high quality services, systems and actionable information provided to research and healthcare communities worldwide.
 
EEO Statement: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation or any other characteristic protected by law.
 
Readcoor, Inc. is committed to building a culturally diverse team and strongly encourages applications from female and minority candidates.
 
All applicants should be legally entitled to work for any employer in the US.
 
Our office is located in Cambridge, MA on Memorial Drive
 
 
Note to Employment Agencies: The company will not be responsible for any fees related to resumes that are unsolicited. Thank you!

 

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