Bioinformatics Scientist

Tempus AI

Bioinformatics Scientist developing liquid biopsy assays and AI models for Tempus, a precision oncology company. Optimizing biomarker detection, tumor fraction estimation, and clinical validation pipelines.

Posted 8/4/2026full-timeRedwood City • California, Colorado, Illinois, New York • 🇺🇸 United StatesMid-LevelSenior💰 $115,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing machine learning models for analyzing next-generation sequencing data, with a strong focus on oncology biomarker detection and regulatory compliance. Proficient in translating complex research into actionable clinical insights and production-scale pipelines.

Highest-signal resume keywords

Ph.D. Or Master's In BioinformaticsMachine Learning Model DevelopmentNext-Generation Sequencing Data AnalysisStatistical Modeling And Predictive AlgorithmsAWS Or GCP Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingData AnalysisBioinformaticsComputational BiologyPythonRMolecular BiologyCancer BiologyGenetics

Soft Skills

Effective CommunicationPresentation SkillsSelf-DrivenTeam Collaboration

Tools & Technologies

AWSGCPDockerNextflowSnakemake

Industry Keywords

Oncology Biomarker DetectionCell-Free DNAClonal HematopoiesisRegulatory DocumentationCAP/CLIAFDAMolDxMultimodal DataAssay Analytical PerformanceScientific Publications

Tech Stack

Tools & technologies

AWSDockerGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Develop, tune, and optimize novel assays, algorithms, machine learning and statistical models to analyze next-generation sequencing (NGS) and multimodal data for oncology biomarker detection from cell-free DNA
Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation and longitudinal treatment response monitoring
Improve molecular barcoding filtering strategies to distinguish low-frequency oncology biomarkers from sequencing artifacts
Design and integrate machine learning classifiers and filtering logic to differentiate Clonal Hematopoiesis variants from tumor-derived variants
Design and execute experiments evaluating assay analytical performance
Support regulatory documentation for CAP/CLIA, New York State, FDA, and MolDx submissions
Collaborate with wet-lab assay development scientists, medical directors, clinical scientists, biostatisticians, software engineers, and product managers
Translate research into clinically actionable insights and production-scale pipelines

Requirements

What you’ll need

Must have completed a Ph.D. or a Master's with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science
In-depth knowledge of tools and pipelines for processing, aligning, and analyzing multimodal NGS data, including epigenetics, DNA, and RNA
Computational skills using Python and/or R, including data science and biological computing libraries
Expertise with AWS or GCP, Docker, and workflow management tools such as Nextflow or Snakemake
Scientific publications and/or contribution to successful industry product development
Strong background in statistical modeling, predictive/prognostic algorithms, and machine learning techniques
Effective communication and presentation skills
Self-driven and able to work well in interdisciplinary teams

Benefits

Comp & perks

Incentive compensation
Restricted stock units
Medical and other benefits depending on the position