Tempus is seeking a highly motivated bioinformatics software engineer focused on software and algorithm development. This role requires experience with scientific programming, relational data systems, and algorithms development. The ideal candidate will have experience deploying bioinformatics code within a clinical setting and extensive experience with genomics data.
Responsibilities include:
- Ensuring robust CI/CD patterns for clinical software and performing software verification
- Developing software for scientists and engineers to access, analyze, and visualize bioinformatics data
- Ensuring high-quality analysis through testing and verification of clinical pipelines and software
- Developing tools to streamline scientific data usage across teams and applications
- Collaborating with subject matter experts to design and maintain systems supporting medical devices and clinical pipelines
- Translating research into clinically actionable insights for clients
- Producing detailed documentation for all projects
Required Experience:
- 2+ years experience in bioinformatics analysis or software engineering OR an advanced degree in a scientific or computationally related field
- Python programming
- Experience with databases: SQL or BigQuery
- Experience with software containers, e.g., Docker
Ideal candidates will have:
- Critical thinking and creativity
- Experience with software testing
- Background in cancer genetics, immunology, or molecular biology
- Experience with next-generation sequencing data
- Knowledge of SQL, JavaScript, or TypeScript
- Experience with BigQuery and Google Cloud Platform
- Experience with Nextflow
- Ability to work well in interdisciplinary teams
- Experience interfacing with both scientific and engineering teams
Tempus is committed to advancing precision medicine through AI and real-world evidence, providing critical information about the right treatments for the right patients at the right time. Join a company at the forefront of healthcare innovation, working on cutting-edge technology to improve patient outcomes.