Tempus Labs, Inc. is hiring a
Bioinformatics Engineer
Tempus Labs, Inc.
π΅ ~$72k-$99k
πRemote - United States
Please let Tempus Labs, Inc. know you found this job on JobsCollider. Thanks! π
Summary
Join Tempus as a bioinformatics software engineer to develop software and algorithms for precision medicine and advancing the healthcare industry. Recent advancements in technology have made it possible for AI to impact clinical care, and this position requires experience with scientific programming, relational data systems, and algorithm development.
Requirements
- Must have one of the following: 2+ years experience in bioinformatics analysis or software engineering, or 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
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
Preferred Qualifications
- 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
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