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Bioinformatics Software Engineer I

In this exciting role as part of the Bioinformatics Software Engineering team, under Research and Development, at Cell Signaling Technology Inc., you will be involved in developing computational biology tools and infrastructure to support and advance research programs and process improvements. This includes cloud-based services, databases, LIMS, and more. You will be responsible for defining requirements, creating prototypes, testing, and implementing. You will be collaborating with scientists, computational biologists, and other software engineers/developers.
 
You'll have the opportunity to....
  • Maintain and organize computational infrastructure and resources
  • Develop, test, and maintain software for analyzing data from novel and established bioinformatics pipelines
  • Provide computational support by integrating and analyzing multiple data types
  • Write software to facilitate integration between bioinformatics software, automation hardware, laboratory information management systems (LIMS), and other data repositories
  • Analyze complex biological datasets by deploying statistical methods and visualization tools
  • Collaborate with software and cloud engineers to build production-scale pipelines
  • Collaborate with experimentalists and computational biologists to develop and apply statistical and computational techniques to novel data formats
  • Build and deploy full stack web applications
  • Work through tasks at any level of the stack and deliver correct and well-tested code with some oversight
  • Determine accurate and dependable delivery estimates
  • Foresee and test against potential functional and scalability issues
  • Develop while adhering to the best practices of automated testing at all steps and code reviews
  • Build and maintain cloud based data processing workflows, incorporating open source tools for scheduling, monitoring and resource management
  • Create scientifically rigorous visualizations, communications, and presentations of results

What you bring to the team....
  • Bachelor’s degree in Computer Science, Software Engineering, or related field or relevant certification and industry experience
  • Experience in full software development lifecycle
  • Experience in backend and frontend development
  • Experience with code testing frameworks
  • Experience with cloud computing
  • Experience with Linux and Docker
  • No prior experience in life sciences is required, but ample curiosity and a willingness to learn are a must
  • A self-starter that uses good judgment in how best to apply their time effectively
  • Experience with the following is preferred, but not required
  • Agile/Scrum
  • Python, React JS and/or Vue JS
  • LIMS and working in lab environment
  • Data visualization
  • Hands on experience and knowledge of machine learning
  • Bonus points for experience/knowledge of mass spectrometry
  • Experience leveraging and/or the aptitude for learning the AWS ecosystem in conjunction with a variety of cloud native technologies such as kubernetes, argo, argoCD, and helm.