Bioinformatics Engineer

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a highly motivated and capable bioinformatics software engineer focused towards software and algorithm development. This position requires experience with scientific programming, relational data systems, and algorithms development. Top candidates will also have experience deploying bioinformatics code within a clinical setting and extensive experience with genomics data.

Duties and Responsibilities:

• Ensure robust CI/CD patterns for clinical software and perform software verification for release and development.
• Develop software to enable scientists and engineers to access, analyze, and visualize bioinformatics data in a robust and efficient manner.
• Ensure high-quality analysis through on-going testing and verification of clinical pipelines and software.
• Develop tools to streamline creation and usage of scientific data across all teams and applications.
• Collaborate with subject matter experts, e.g., product, engineering, to design and maintain systems supporting medical devices and clinical pipelines.
• Work in interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients.
• Produce high quality and detailed documentation for all projects.

Required Experience:

• Must have one of the following:
• 2+ years experience in bioinformatics analysis or software engineering
• An advanced degree in a scientific or computationally related field.
  
  
• Computational experience in the following areas:
• Python
• Databases: SQL or BigQuery
• Software containers, e.g., Docker

Ideal candidates will possess:

• Critical thinking and creativity to approach solutions
• Experience with software testing
• Experience in cancer genetics, immunology, or molecular biology
• Experience working with next-generation sequencing data
• Experience with SQL, javascript, or typescript
• Experience with BigQuery
• Experience with cloud-based system, specifically Google Cloud Platform
• Experience with Nextflow
• Self-driven and works well in interdisciplinary teams
• Experience interfacing with both scientific and engineering teams