Software Engineer


Biomarker discovery at unprecedented speed & scale 858.290.7010

About the Role:

The Software Engineer will work closely with and report to the Head of Software and Data Engineering to support Sapient’s efforts in developing its unique pipeline. They will work with a broad range of technologies including containers, Kubernetes, cloud computing, a variety of programming languages, and infrastructure as code, and contribute to the adoption of DevOps and MLOps practices within Sapient. We are looking for a candidate with a strong coding background and desire to work at the intersection of engineering and science to create meaningful advancements in the understanding of biology and health.


  • Develop web applications, library code, and software components to analyze data captured in the lab
  • Support cloud and big data using infrastructure as code (IAC)
  • Contribute to adoption of DevOps and MLOps practices

Required Qualifications/Skills:

  • Bachelor of Science in Computer Science or Computer Engineering
  • At least 4 years of experience in a software engineering role
  • Experienced with version control via GIT
  • Full stack or strong visualization expertise
  • Good coding skills in at least one programming language, including object orientation features
  • Good understanding of algorithms and data structures
  • Ability to communicate with managers and supervisors on the state of projects and potential problems in a proactive manner
  • Can create and maintain well documented processes and code that conform to and support audit, security, and business continuity requirements

Preferred Qualifications/Skills:

  • Desire to work at the intersection of engineering and science and create meaningful advancements in the understanding of biology and health
  • Wide expertise in interactive visualization technologies (C3, Plotly, Seaborn, Bokeh, Streamlit, R Shiny, etc.)
  • Kubernetes
  • Cloud computing knowledge, ideally AWS; Infrastructure as Code is a plus

About the Company

Sapient is a fast-growing biotech startup that aims to accelerate drug development and transform personalized medicine. Combining state-of-the-art mass spectrometry technology with advanced biocomputational services and multifaceted human health data, we enable biomarker discovery at unprecedented speed and scale. We are a team of passionate scientists, clinicians, and engineers with expertise in various disciplines. We work together in a highly collaborative environment, committed to making innovations with scientific rigor. We emphasize growth within the company and offer a flexible work environment with the opportunity work alongside top-tier thinkers and experts.

Tagged as: big data, cloud computing, computer engineering, computer science, devops, kubernetes, mlops, software development, software engineering, web applications

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