Bioinformatics Software Engineer (NYC & Redwood City)

Tempus • Redwood City, California, United States • 4w ago

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 looking for a highly motivated and capable senior bioinformatics software engineer with extensive experience and interest in developing cutting edge assays and algorithms in the liquid biopsy space (including molecular residual disease testing, therapeutic response monitoring, therapy selection, complete genomic profiling, and diagnostics).

Responsibilities:

Build and design production-scale bioinformatics pipelines using contemporary tools for processing and analyzing NGS data within cloud-based computing environment
Develop novel assays, algorithms, machine learning and statistical models to detect oncology related biomarkers from cell free next-generation sequencing (NGS) data
Conduct analyses applying deep genomic and epigenomic knowledge to derive key insights from large multi-modal datasets
Execute experiments to characterize performance and support various regulatory submissions.
Produce high quality and detailed documentation for all projects.
Communicate results with other scientific teams as well as product and bioinformatics leadership.
Collaborate with other scientists and engineers

Qualifications:

Must have completed a Ph.D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science
Computational skills using Python and/or R
Experience with cloud-based systems such as AWS or Google Cloud Platform
Experience with container solutions such as Docker
Experience with common workflow languages such as Nextflow, snakemake, etc.
Experience interfacing with both scientific and engineering teams
Experience with software testing
Demonstrated effective communication and presentation skills
Self-driven and works well in interdisciplinary teams